--- _id: '13061' abstract: - lang: eng text: Infections early in life can have enduring effects on an organism’s development and immunity. In this study, we show that this equally applies to developing “superorganisms” – incipient social insect colonies. When we exposed newly mated Lasius niger ant queens to a low pathogen dose, their colonies grew more slowly than controls before winter, but reached similar sizes afterwards. Independent of exposure, queen hibernation survival improved when the ratio of pupae to workers was small. Queens that reared fewer pupae before worker emergence exhibited lower pathogen levels, indicating that high brood rearing efforts interfere with the ability of the queen’s immune system to suppress pathogen proliferation. Early-life queen pathogen-exposure also improved the immunocompetence of her worker offspring, as demonstrated by challenging the workers to the same pathogen a year later. Transgenerational transfer of the queen’s pathogen experience to her workforce can hence durably reduce the disease susceptibility of the whole superorganism. article_processing_charge: No author: - first_name: Barbara E full_name: Casillas Perez, Barbara E id: 351ED2AA-F248-11E8-B48F-1D18A9856A87 last_name: Casillas Perez - first_name: Christopher full_name: Pull, Christopher id: 3C7F4840-F248-11E8-B48F-1D18A9856A87 last_name: Pull orcid: 0000-0003-1122-3982 - first_name: Filip full_name: Naiser, Filip last_name: Naiser - first_name: Elisabeth full_name: Naderlinger, Elisabeth last_name: Naderlinger - first_name: Jiri full_name: Matas, Jiri last_name: Matas - first_name: Sylvia full_name: Cremer, Sylvia id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87 last_name: Cremer orcid: 0000-0002-2193-3868 citation: ama: Casillas Perez BE, Pull C, Naiser F, Naderlinger E, Matas J, Cremer S. Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies. 2021. doi:10.5061/DRYAD.7PVMCVDTJ apa: Casillas Perez, B. E., Pull, C., Naiser, F., Naderlinger, E., Matas, J., & Cremer, S. (2021). Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies. Dryad. https://doi.org/10.5061/DRYAD.7PVMCVDTJ chicago: Casillas Perez, Barbara E, Christopher Pull, Filip Naiser, Elisabeth Naderlinger, Jiri Matas, and Sylvia Cremer. “Early Queen Infection Shapes Developmental Dynamics and Induces Long-Term Disease Protection in Incipient Ant Colonies.” Dryad, 2021. https://doi.org/10.5061/DRYAD.7PVMCVDTJ. ieee: B. E. Casillas Perez, C. Pull, F. Naiser, E. Naderlinger, J. Matas, and S. Cremer, “Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies.” Dryad, 2021. ista: Casillas Perez BE, Pull C, Naiser F, Naderlinger E, Matas J, Cremer S. 2021. Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies, Dryad, 10.5061/DRYAD.7PVMCVDTJ. mla: Casillas Perez, Barbara E., et al. Early Queen Infection Shapes Developmental Dynamics and Induces Long-Term Disease Protection in Incipient Ant Colonies. Dryad, 2021, doi:10.5061/DRYAD.7PVMCVDTJ. short: B.E. Casillas Perez, C. Pull, F. Naiser, E. Naderlinger, J. Matas, S. Cremer, (2021). date_created: 2023-05-23T16:14:35Z date_published: 2021-10-29T00:00:00Z date_updated: 2023-08-14T11:45:28Z day: '29' ddc: - '570' department: - _id: SyCr doi: 10.5061/DRYAD.7PVMCVDTJ ec_funded: 1 main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.7pvmcvdtj month: '10' oa: 1 oa_version: Published Version project: - _id: 2649B4DE-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '771402' name: Epidemics in ant societies on a chip publisher: Dryad related_material: record: - id: '10284' relation: used_in_publication status: public status: public title: Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '13062' abstract: - lang: eng text: 'This paper analyzes the conditions for local adaptation in a metapopulation with infinitely many islands under a model of hard selection, where population size depends on local fitness. Each island belongs to one of two distinct ecological niches or habitats. Fitness is influenced by an additive trait which is under habitat-dependent directional selection. Our analysis is based on the diffusion approximation and accounts for both genetic drift and demographic stochasticity. By neglecting linkage disequilibria, it yields the joint distribution of allele frequencies and population size on each island. We find that under hard selection, the conditions for local adaptation in a rare habitat are more restrictive for more polygenic traits: even moderate migration load per locus at very many loci is sufficient for population sizes to decline. This further reduces the efficacy of selection at individual loci due to increased drift and because smaller populations are more prone to swamping due to migration, causing a positive feedback between increasing maladaptation and declining population sizes. Our analysis also highlights the importance of demographic stochasticity, which exacerbates the decline in numbers of maladapted populations, leading to population collapse in the rare habitat at significantly lower migration than predicted by deterministic arguments.' article_processing_charge: No author: - first_name: Eniko full_name: Szep, Eniko id: 485BB5A4-F248-11E8-B48F-1D18A9856A87 last_name: Szep - first_name: Himani full_name: Sachdeva, Himani id: 42377A0A-F248-11E8-B48F-1D18A9856A87 last_name: Sachdeva - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: 'Szep E, Sachdeva H, Barton NH. Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model. 2021. doi:10.5061/DRYAD.8GTHT76P1' apa: 'Szep, E., Sachdeva, H., & Barton, N. H. (2021). Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model. Dryad. https://doi.org/10.5061/DRYAD.8GTHT76P1' chicago: 'Szep, Eniko, Himani Sachdeva, and Nicholas H Barton. “Supplementary Code for: Polygenic Local Adaptation in Metapopulations: A Stochastic Eco-Evolutionary Model.” Dryad, 2021. https://doi.org/10.5061/DRYAD.8GTHT76P1.' ieee: 'E. Szep, H. Sachdeva, and N. H. Barton, “Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model.” Dryad, 2021.' ista: 'Szep E, Sachdeva H, Barton NH. 2021. Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model, Dryad, 10.5061/DRYAD.8GTHT76P1.' mla: 'Szep, Eniko, et al. Supplementary Code for: Polygenic Local Adaptation in Metapopulations: A Stochastic Eco-Evolutionary Model. Dryad, 2021, doi:10.5061/DRYAD.8GTHT76P1.' short: E. Szep, H. Sachdeva, N.H. Barton, (2021). date_created: 2023-05-23T16:17:02Z date_published: 2021-03-02T00:00:00Z date_updated: 2023-09-05T15:44:05Z day: '02' ddc: - '570' department: - _id: NiBa doi: 10.5061/DRYAD.8GTHT76P1 main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.8gtht76p1 month: '03' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '9252' relation: used_in_publication status: public status: public title: 'Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model' tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '13063' abstract: - lang: eng text: We develop a Bayesian model (BayesRR-RC) that provides robust SNP-heritability estimation, an alternative to marker discovery, and accurate genomic prediction, taking 22 seconds per iteration to estimate 8.4 million SNP-effects and 78 SNP-heritability parameters in the UK Biobank. We find that only $\leq$ 10\% of the genetic variation captured for height, body mass index, cardiovascular disease, and type 2 diabetes is attributable to proximal regulatory regions within 10kb upstream of genes, while 12-25% is attributed to coding regions, 32-44% to introns, and 22-28% to distal 10-500kb upstream regions. Up to 24% of all cis and coding regions of each chromosome are associated with each trait, with over 3,100 independent exonic and intronic regions and over 5,400 independent regulatory regions having >95% probability of contributing >0.001% to the genetic variance of these four traits. Our open-source software (GMRM) provides a scalable alternative to current approaches for biobank data. article_processing_charge: No author: - first_name: Matthew Richard full_name: Robinson, Matthew Richard id: E5D42276-F5DA-11E9-8E24-6303E6697425 last_name: Robinson orcid: 0000-0001-8982-8813 citation: ama: Robinson MR. Probabilistic inference of the genetic architecture of functional enrichment of complex traits. 2021. doi:10.5061/dryad.sqv9s4n51 apa: Robinson, M. R. (2021). Probabilistic inference of the genetic architecture of functional enrichment of complex traits. Dryad. https://doi.org/10.5061/dryad.sqv9s4n51 chicago: Robinson, Matthew Richard. “Probabilistic Inference of the Genetic Architecture of Functional Enrichment of Complex Traits.” Dryad, 2021. https://doi.org/10.5061/dryad.sqv9s4n51. ieee: M. R. Robinson, “Probabilistic inference of the genetic architecture of functional enrichment of complex traits.” Dryad, 2021. ista: Robinson MR. 2021. Probabilistic inference of the genetic architecture of functional enrichment of complex traits, Dryad, 10.5061/dryad.sqv9s4n51. mla: Robinson, Matthew Richard. Probabilistic Inference of the Genetic Architecture of Functional Enrichment of Complex Traits. Dryad, 2021, doi:10.5061/dryad.sqv9s4n51. short: M.R. Robinson, (2021). date_created: 2023-05-23T16:20:16Z date_published: 2021-11-04T00:00:00Z date_updated: 2023-09-26T10:36:15Z day: '04' ddc: - '570' department: - _id: MaRo doi: 10.5061/dryad.sqv9s4n51 main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.sqv9s4n51 month: '11' oa: 1 oa_version: Published Version publisher: Dryad related_material: link: - relation: software url: https://github.com/medical-genomics-group/gmrm record: - id: '8429' relation: used_in_publication status: public status: public title: Probabilistic inference of the genetic architecture of functional enrichment of complex traits tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '13068' abstract: - lang: eng text: Source data and source code for the graphs in "Spatiotemporal dynamics of self-organized branching pancreatic cancer-derived organoids". article_processing_charge: No author: - first_name: Samuel full_name: Randriamanantsoa, Samuel last_name: Randriamanantsoa - first_name: Aristeidis full_name: Papargyriou, Aristeidis last_name: Papargyriou - first_name: Carlo full_name: Maurer, Carlo last_name: Maurer - first_name: Katja full_name: Peschke, Katja last_name: Peschke - first_name: Maximilian full_name: Schuster, Maximilian last_name: Schuster - first_name: Giulia full_name: Zecchin, Giulia last_name: Zecchin - first_name: Katja full_name: Steiger, Katja last_name: Steiger - first_name: Rupert full_name: Öllinger, Rupert last_name: Öllinger - first_name: Dieter full_name: Saur, Dieter last_name: Saur - first_name: Christina full_name: Scheel, Christina last_name: Scheel - first_name: Roland full_name: Rad, Roland last_name: Rad - first_name: Edouard B full_name: Hannezo, Edouard B id: 3A9DB764-F248-11E8-B48F-1D18A9856A87 last_name: Hannezo orcid: 0000-0001-6005-1561 - first_name: Maximilian full_name: Reichert, Maximilian last_name: Reichert - first_name: Andreas R. full_name: Bausch, Andreas R. last_name: Bausch citation: ama: Randriamanantsoa S, Papargyriou A, Maurer C, et al. Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids. 2021. doi:10.5281/ZENODO.5148117 apa: Randriamanantsoa, S., Papargyriou, A., Maurer, C., Peschke, K., Schuster, M., Zecchin, G., … Bausch, A. R. (2021). Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids. Zenodo. https://doi.org/10.5281/ZENODO.5148117 chicago: Randriamanantsoa, Samuel, Aristeidis Papargyriou, Carlo Maurer, Katja Peschke, Maximilian Schuster, Giulia Zecchin, Katja Steiger, et al. “Spatiotemporal Dynamics of Self-Organized Branching in Pancreas-Derived Organoids.” Zenodo, 2021. https://doi.org/10.5281/ZENODO.5148117. ieee: S. Randriamanantsoa et al., “Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids.” Zenodo, 2021. ista: Randriamanantsoa S, Papargyriou A, Maurer C, Peschke K, Schuster M, Zecchin G, Steiger K, Öllinger R, Saur D, Scheel C, Rad R, Hannezo EB, Reichert M, Bausch AR. 2021. Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids, Zenodo, 10.5281/ZENODO.5148117. mla: Randriamanantsoa, Samuel, et al. Spatiotemporal Dynamics of Self-Organized Branching in Pancreas-Derived Organoids. Zenodo, 2021, doi:10.5281/ZENODO.5148117. short: S. Randriamanantsoa, A. Papargyriou, C. Maurer, K. Peschke, M. Schuster, G. Zecchin, K. Steiger, R. Öllinger, D. Saur, C. Scheel, R. Rad, E.B. Hannezo, M. Reichert, A.R. Bausch, (2021). date_created: 2023-05-23T16:39:24Z date_published: 2021-07-30T00:00:00Z date_updated: 2023-08-04T09:25:23Z day: '30' ddc: - '570' department: - _id: EdHa doi: 10.5281/ZENODO.5148117 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.6577226 month: '07' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '12217' relation: used_in_publication status: public status: public title: Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '13069' abstract: - lang: eng text: To survive elevated temperatures, ectotherms adjust the fluidity of membranes by fine-tuning lipid desaturation levels in a process previously described to be cell-autonomous. We have discovered that, in Caenorhabditis elegans, neuronal Heat shock Factor 1 (HSF-1), the conserved master regulator of the heat shock response (HSR)- causes extensive fat remodelling in peripheral tissues. These changes include a decrease in fat desaturase and acid lipase expression in the intestine, and a global shift in the saturation levels of plasma membrane’s phospholipids. The observed remodelling of plasma membrane is in line with ectothermic adaptive responses and gives worms a cumulative advantage to warm temperatures. We have determined that at least six TAX-2/TAX-4 cGMP gated channel expressing sensory neurons and TGF-β/BMP are required for signalling across tissues to modulate fat desaturation. We also find neuronal hsf-1 is not only sufficient but also partially necessary to control the fat remodelling response and for survival at warm temperatures. This is the first study to show that a thermostat-based mechanism can cell non-autonomously coordinate membrane saturation and composition across tissues in a multicellular animal. article_processing_charge: No author: - first_name: Laetitia full_name: Chauve, Laetitia last_name: Chauve - first_name: Francesca full_name: Hodge, Francesca last_name: Hodge - first_name: Sharlene full_name: Murdoch, Sharlene last_name: Murdoch - first_name: Fatemah full_name: Masoudzadeh, Fatemah last_name: Masoudzadeh - first_name: Harry-Jack full_name: Mann, Harry-Jack last_name: Mann - first_name: Andrea full_name: Lopez-Clavijo, Andrea last_name: Lopez-Clavijo - first_name: Hanneke full_name: Okkenhaug, Hanneke last_name: Okkenhaug - first_name: Greg full_name: West, Greg last_name: West - first_name: Bebiana C. full_name: Sousa, Bebiana C. last_name: Sousa - first_name: Anne full_name: Segonds-Pichon, Anne last_name: Segonds-Pichon - first_name: Cheryl full_name: Li, Cheryl last_name: Li - first_name: Steven full_name: Wingett, Steven last_name: Wingett - first_name: Hermine full_name: Kienberger, Hermine last_name: Kienberger - first_name: Karin full_name: Kleigrewe, Karin last_name: Kleigrewe - first_name: Mario full_name: de Bono, Mario id: 4E3FF80E-F248-11E8-B48F-1D18A9856A87 last_name: de Bono orcid: 0000-0001-8347-0443 - first_name: Michael full_name: Wakelam, Michael last_name: Wakelam - first_name: Olivia full_name: Casanueva, Olivia last_name: Casanueva citation: ama: Chauve L, Hodge F, Murdoch S, et al. Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans. 2021. doi:10.5281/ZENODO.5519410 apa: Chauve, L., Hodge, F., Murdoch, S., Masoudzadeh, F., Mann, H.-J., Lopez-Clavijo, A., … Casanueva, O. (2021). Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans. Zenodo. https://doi.org/10.5281/ZENODO.5519410 chicago: Chauve, Laetitia, Francesca Hodge, Sharlene Murdoch, Fatemah Masoudzadeh, Harry-Jack Mann, Andrea Lopez-Clavijo, Hanneke Okkenhaug, et al. “Neuronal HSF-1 Coordinates the Propagation of Fat Desaturation across Tissues to Enable Adaptation to High Temperatures in C. Elegans.” Zenodo, 2021. https://doi.org/10.5281/ZENODO.5519410. ieee: L. Chauve et al., “Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans.” Zenodo, 2021. ista: Chauve L, Hodge F, Murdoch S, Masoudzadeh F, Mann H-J, Lopez-Clavijo A, Okkenhaug H, West G, Sousa BC, Segonds-Pichon A, Li C, Wingett S, Kienberger H, Kleigrewe K, de Bono M, Wakelam M, Casanueva O. 2021. Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans, Zenodo, 10.5281/ZENODO.5519410. mla: Chauve, Laetitia, et al. Neuronal HSF-1 Coordinates the Propagation of Fat Desaturation across Tissues to Enable Adaptation to High Temperatures in C. Elegans. Zenodo, 2021, doi:10.5281/ZENODO.5519410. short: L. Chauve, F. Hodge, S. Murdoch, F. Masoudzadeh, H.-J. Mann, A. Lopez-Clavijo, H. Okkenhaug, G. West, B.C. Sousa, A. Segonds-Pichon, C. Li, S. Wingett, H. Kienberger, K. Kleigrewe, M. de Bono, M. Wakelam, O. Casanueva, (2021). date_created: 2023-05-23T16:40:56Z date_published: 2021-12-25T00:00:00Z date_updated: 2023-08-14T11:53:26Z day: '25' ddc: - '570' department: - _id: MaDe doi: 10.5281/ZENODO.5519410 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.5547464 month: '12' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '10322' relation: used_in_publication status: public status: public title: Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '13072' abstract: - lang: eng text: CpGs and corresponding mean weights for DNAm-based prediction of cognitive abilities (6 traits) article_processing_charge: No author: - first_name: Daniel L full_name: McCartney, Daniel L last_name: McCartney - first_name: Robert F full_name: Hillary, Robert F last_name: Hillary - first_name: Eleanor LS full_name: Conole, Eleanor LS last_name: Conole - first_name: Daniel full_name: Trejo Banos, Daniel last_name: Trejo Banos - first_name: Danni A full_name: Gadd, Danni A last_name: Gadd - first_name: Rosie M full_name: Walker, Rosie M last_name: Walker - first_name: Cliff full_name: Nangle, Cliff last_name: Nangle - first_name: Robin full_name: Flaig, Robin last_name: Flaig - first_name: Archie full_name: Campbell, Archie last_name: Campbell - first_name: Alison D full_name: Murray, Alison D last_name: Murray - first_name: Susana full_name: Munoz Maniega, Susana last_name: Munoz Maniega - first_name: Maria full_name: del C Valdes-Hernandez, Maria last_name: del C Valdes-Hernandez - first_name: Mathew A full_name: Harris, Mathew A last_name: Harris - first_name: Mark E full_name: Bastin, Mark E last_name: Bastin - first_name: Joanna M full_name: Wardlaw, Joanna M last_name: Wardlaw - first_name: Sarah E full_name: Harris, Sarah E last_name: Harris - first_name: David J full_name: Porteous, David J last_name: Porteous - first_name: Elliot M full_name: Tucker-Drob, Elliot M last_name: Tucker-Drob - first_name: Andrew M full_name: McIntosh, Andrew M last_name: McIntosh - first_name: Kathryn L full_name: Evans, Kathryn L last_name: Evans - first_name: Ian J full_name: Deary, Ian J last_name: Deary - first_name: Simon R full_name: Cox, Simon R last_name: Cox - first_name: Matthew Richard full_name: Robinson, Matthew Richard id: E5D42276-F5DA-11E9-8E24-6303E6697425 last_name: Robinson orcid: 0000-0001-8982-8813 - first_name: Riccardo E full_name: Marioni, Riccardo E last_name: Marioni citation: ama: McCartney DL, Hillary RF, Conole EL, et al. Blood-based epigenome-wide analyses of cognitive abilities. 2021. doi:10.5281/ZENODO.5794028 apa: McCartney, D. L., Hillary, R. F., Conole, E. L., Trejo Banos, D., Gadd, D. A., Walker, R. M., … Marioni, R. E. (2021). Blood-based epigenome-wide analyses of cognitive abilities. Zenodo. https://doi.org/10.5281/ZENODO.5794028 chicago: McCartney, Daniel L, Robert F Hillary, Eleanor LS Conole, Daniel Trejo Banos, Danni A Gadd, Rosie M Walker, Cliff Nangle, et al. “Blood-Based Epigenome-Wide Analyses of Cognitive Abilities.” Zenodo, 2021. https://doi.org/10.5281/ZENODO.5794028. ieee: D. L. McCartney et al., “Blood-based epigenome-wide analyses of cognitive abilities.” Zenodo, 2021. ista: McCartney DL, Hillary RF, Conole EL, Trejo Banos D, Gadd DA, Walker RM, Nangle C, Flaig R, Campbell A, Murray AD, Munoz Maniega S, del C Valdes-Hernandez M, Harris MA, Bastin ME, Wardlaw JM, Harris SE, Porteous DJ, Tucker-Drob EM, McIntosh AM, Evans KL, Deary IJ, Cox SR, Robinson MR, Marioni RE. 2021. Blood-based epigenome-wide analyses of cognitive abilities, Zenodo, 10.5281/ZENODO.5794028. mla: McCartney, Daniel L., et al. Blood-Based Epigenome-Wide Analyses of Cognitive Abilities. Zenodo, 2021, doi:10.5281/ZENODO.5794028. short: D.L. McCartney, R.F. Hillary, E.L. Conole, D. Trejo Banos, D.A. Gadd, R.M. Walker, C. Nangle, R. Flaig, A. Campbell, A.D. Murray, S. Munoz Maniega, M. del C Valdes-Hernandez, M.A. Harris, M.E. Bastin, J.M. Wardlaw, S.E. Harris, D.J. Porteous, E.M. Tucker-Drob, A.M. McIntosh, K.L. Evans, I.J. Deary, S.R. Cox, M.R. Robinson, R.E. Marioni, (2021). date_created: 2023-05-23T16:46:20Z date_published: 2021-12-20T00:00:00Z date_updated: 2023-08-02T14:05:12Z day: '20' ddc: - '570' department: - _id: MaRo doi: 10.5281/ZENODO.5794028 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.5794029 month: '12' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '10702' relation: used_in_publication status: public status: public title: Blood-based epigenome-wide analyses of cognitive abilities tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '13080' abstract: - lang: eng text: "Data for the manuscript 'Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire' ([2006.01275] Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire (arxiv.org))\r\n\r\nWe upload a pdf with extended data sets, and the raw data for these extended datasets as well." article_processing_charge: No author: - first_name: Denise full_name: Puglia, Denise id: 4D495994-AE37-11E9-AC72-31CAE5697425 last_name: Puglia - first_name: Esteban full_name: Martinez, Esteban last_name: Martinez - first_name: Gerbold full_name: Menard, Gerbold last_name: Menard - first_name: Andreas full_name: Pöschl, Andreas last_name: Pöschl - first_name: Sergei full_name: Gronin, Sergei last_name: Gronin - first_name: Geoffrey full_name: Gardner, Geoffrey last_name: Gardner - first_name: Ray full_name: Kallaher, Ray last_name: Kallaher - first_name: Michael full_name: Manfra, Michael last_name: Manfra - first_name: Charles full_name: Marcus, Charles last_name: Marcus - first_name: Andrew P full_name: Higginbotham, Andrew P id: 4AD6785A-F248-11E8-B48F-1D18A9856A87 last_name: Higginbotham orcid: 0000-0003-2607-2363 - first_name: Lucas full_name: Casparis, Lucas last_name: Casparis citation: ama: Puglia D, Martinez E, Menard G, et al. Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire. 2021. doi:10.5281/ZENODO.4592435 apa: Puglia, D., Martinez, E., Menard, G., Pöschl, A., Gronin, S., Gardner, G., … Casparis, L. (2021). Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire. Zenodo. https://doi.org/10.5281/ZENODO.4592435 chicago: Puglia, Denise, Esteban Martinez, Gerbold Menard, Andreas Pöschl, Sergei Gronin, Geoffrey Gardner, Ray Kallaher, et al. “Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire.” Zenodo, 2021. https://doi.org/10.5281/ZENODO.4592435. ieee: D. Puglia et al., “Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire.” Zenodo, 2021. ista: Puglia D, Martinez E, Menard G, Pöschl A, Gronin S, Gardner G, Kallaher R, Manfra M, Marcus C, Higginbotham AP, Casparis L. 2021. Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire, Zenodo, 10.5281/ZENODO.4592435. mla: Puglia, Denise, et al. Data for ’Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire. Zenodo, 2021, doi:10.5281/ZENODO.4592435. short: D. Puglia, E. Martinez, G. Menard, A. Pöschl, S. Gronin, G. Gardner, R. Kallaher, M. Manfra, C. Marcus, A.P. Higginbotham, L. Casparis, (2021). date_created: 2023-05-23T17:11:28Z date_published: 2021-03-09T00:00:00Z date_updated: 2023-08-08T14:08:07Z day: '09' ddc: - '530' department: - _id: AnHi doi: 10.5281/ZENODO.4592435 main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.4592460 month: '03' oa: 1 oa_version: Published Version publisher: Zenodo related_material: link: - relation: software url: https://github.com/caslu85/Induced-Gap-Closing-Shared/tree/1.1.3 record: - id: '9570' relation: used_in_publication status: public status: public title: Data for 'Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '13146' abstract: - lang: eng text: 'A recent line of work has analyzed the theoretical properties of deep neural networks via the Neural Tangent Kernel (NTK). In particular, the smallest eigenvalue of the NTK has been related to the memorization capacity, the global convergence of gradient descent algorithms and the generalization of deep nets. However, existing results either provide bounds in the two-layer setting or assume that the spectrum of the NTK matrices is bounded away from 0 for multi-layer networks. In this paper, we provide tight bounds on the smallest eigenvalue of NTK matrices for deep ReLU nets, both in the limiting case of infinite widths and for finite widths. In the finite-width setting, the network architectures we consider are fairly general: we require the existence of a wide layer with roughly order of N neurons, N being the number of data samples; and the scaling of the remaining layer widths is arbitrary (up to logarithmic factors). To obtain our results, we analyze various quantities of independent interest: we give lower bounds on the smallest singular value of hidden feature matrices, and upper bounds on the Lipschitz constant of input-output feature maps.' acknowledgement: The authors would like to thank the anonymous reviewers for their helpful comments. MM was partially supported by the 2019 Lopez-Loreta Prize. QN and GM acknowledge support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no 757983). article_processing_charge: No arxiv: 1 author: - first_name: Quynh full_name: Nguyen, Quynh last_name: Nguyen - first_name: Marco full_name: Mondelli, Marco id: 27EB676C-8706-11E9-9510-7717E6697425 last_name: Mondelli orcid: 0000-0002-3242-7020 - first_name: Guido full_name: Montufar, Guido last_name: Montufar citation: ama: 'Nguyen Q, Mondelli M, Montufar G. Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:8119-8129.' apa: 'Nguyen, Q., Mondelli, M., & Montufar, G. (2021). Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 8119–8129). Virtual: ML Research Press.' chicago: Nguyen, Quynh, Marco Mondelli, and Guido Montufar. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” In Proceedings of the 38th International Conference on Machine Learning, 139:8119–29. ML Research Press, 2021. ieee: Q. Nguyen, M. Mondelli, and G. Montufar, “Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 8119–8129. ista: Nguyen Q, Mondelli M, Montufar G. 2021. Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks. Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine Learning vol. 139, 8119–8129. mla: Nguyen, Quynh, et al. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 8119–29. short: Q. Nguyen, M. Mondelli, G. Montufar, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 8119–8129. conference: end_date: 2021-07-24 location: Virtual name: International Conference on Machine Learning start_date: 2021-07-18 date_created: 2023-06-18T22:00:48Z date_published: 2021-07-01T00:00:00Z date_updated: 2024-09-10T13:03:17Z day: '01' ddc: - '000' department: - _id: MaMo external_id: arxiv: - '2012.11654' file: - access_level: open_access checksum: 19489cf5e16a0596b1f92e317d97c9b0 content_type: application/pdf creator: dernst date_created: 2023-06-19T10:49:12Z date_updated: 2023-06-19T10:49:12Z file_id: '13155' file_name: 2021_PMLR_Nguyen.pdf file_size: 591332 relation: main_file success: 1 file_date_updated: 2023-06-19T10:49:12Z has_accepted_license: '1' intvolume: ' 139' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 8119-8129 project: - _id: 059876FA-7A3F-11EA-A408-12923DDC885E name: Prix Lopez-Loretta 2019 - Marco Mondelli publication: Proceedings of the 38th International Conference on Machine Learning publication_identifier: eissn: - 2640-3498 isbn: - '9781713845065' publication_status: published publisher: ML Research Press quality_controlled: '1' scopus_import: '1' status: public title: Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 139 year: '2021' ... --- _id: '13147' abstract: - lang: eng text: "We investigate fast and communication-efficient algorithms for the classic problem of minimizing a sum of strongly convex and smooth functions that are distributed among n\r\n different nodes, which can communicate using a limited number of bits. Most previous communication-efficient approaches for this problem are limited to first-order optimization, and therefore have \\emph{linear} dependence on the condition number in their communication complexity. We show that this dependence is not inherent: communication-efficient methods can in fact have sublinear dependence on the condition number. For this, we design and analyze the first communication-efficient distributed variants of preconditioned gradient descent for Generalized Linear Models, and for Newton’s method. Our results rely on a new technique for quantizing both the preconditioner and the descent direction at each step of the algorithms, while controlling their convergence rate. We also validate our findings experimentally, showing faster convergence and reduced communication relative to previous methods." acknowledgement: The authors would like to thank Janne Korhonen, Aurelien Lucchi, Celestine MendlerDunner and Antonio Orvieto for helpful discussions. FA ¨and DA were supported during this work by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML). PD was supported by the European Union’s Horizon 2020 programme under the Marie Skłodowska-Curie grant agreement No. 754411. article_processing_charge: No arxiv: 1 author: - first_name: Foivos full_name: Alimisis, Foivos last_name: Alimisis - first_name: Peter full_name: Davies, Peter id: 11396234-BB50-11E9-B24C-90FCE5697425 last_name: Davies orcid: 0000-0002-5646-9524 - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: ama: 'Alimisis F, Davies P, Alistarh D-A. Communication-efficient distributed optimization with quantized preconditioners. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:196-206.' apa: 'Alimisis, F., Davies, P., & Alistarh, D.-A. (2021). Communication-efficient distributed optimization with quantized preconditioners. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 196–206). Virtual: ML Research Press.' chicago: Alimisis, Foivos, Peter Davies, and Dan-Adrian Alistarh. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” In Proceedings of the 38th International Conference on Machine Learning, 139:196–206. ML Research Press, 2021. ieee: F. Alimisis, P. Davies, and D.-A. Alistarh, “Communication-efficient distributed optimization with quantized preconditioners,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 196–206. ista: Alimisis F, Davies P, Alistarh D-A. 2021. Communication-efficient distributed optimization with quantized preconditioners. Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine Learning vol. 139, 196–206. mla: Alimisis, Foivos, et al. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 196–206. short: F. Alimisis, P. Davies, D.-A. Alistarh, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 196–206. conference: end_date: 2021-07-24 location: Virtual name: International Conference on Machine Learning start_date: 2021-07-18 date_created: 2023-06-18T22:00:48Z date_published: 2021-07-01T00:00:00Z date_updated: 2023-06-19T10:44:38Z day: '01' ddc: - '000' department: - _id: DaAl ec_funded: 1 external_id: arxiv: - '2102.07214' file: - access_level: open_access checksum: 7ec0d59bac268b49c76bf2e036dedd7a content_type: application/pdf creator: dernst date_created: 2023-06-19T10:41:05Z date_updated: 2023-06-19T10:41:05Z file_id: '13154' file_name: 2021_PMLR_Alimisis.pdf file_size: 429087 relation: main_file success: 1 file_date_updated: 2023-06-19T10:41:05Z has_accepted_license: '1' intvolume: ' 139' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 196-206 project: - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: Proceedings of the 38th International Conference on Machine Learning publication_identifier: eissn: - 2640-3498 isbn: - '9781713845065' publication_status: published publisher: ML Research Press quality_controlled: '1' scopus_import: '1' status: public title: Communication-efficient distributed optimization with quantized preconditioners tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 139 year: '2021' ... --- _id: '8198' abstract: - lang: eng text: We investigate how the critical driving amplitude at the Floquet many-body localized (MBL) to ergodic phase transition differs between smooth and nonsmooth drives. To this end, we numerically study a disordered spin-1/2 chain which is periodically driven by a sine or square-wave drive over a wide range of driving frequencies. In both cases the critical driving amplitude increases monotonically with the frequency, and at large frequencies it is identical for the two drives. However, at low and intermediate frequencies the critical amplitude of the square-wave drive depends strongly on the frequency, while that of the sinusoidal drive is almost constant over a wide frequency range. By analyzing the density of drive-induced resonances we conclude that this difference is due to resonances induced by the higher harmonics which are present (absent) in the Fourier spectrum of the square-wave (sine) drive. Furthermore, we suggest a numerically efficient method for estimating the frequency dependence of the critical driving amplitudes for different drives which is based on calculating the density of drive-induced resonances. We conclude that delocalization occurs once the density of drive-induced resonances reaches a critical value determined only by the static system. acknowledgement: We thank Y. Bar Lev, T. Biadse, and, particularly, E. Bairey and B. Katzir for illuminating discussions and their many insights and help. The authors thank N. Lindner for his support throughout this project. We are further grateful to M. Serbyn, A. Kamenev, A. Turner, and S. de Nicola for reading the manuscript and providing good feedback and suggestions. We acknowledge financial support from the Defense Advanced Research Projects Agency through the DRINQS program, Grant No. D18AC00025. T.G. was in part supported by an Aly Kaufman Fellowship at the Technion. T.G. acknowledges funding from the Institute of Science and Technology (IST) Austria and from the European Union’s Horizon 2020 research and innovation program under Marie SkłodowskaCurie Grant Agreement No. 754411.under the Marie Skłodowska-Curie Grant Agreement No.754411. article_number: '214204' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Asaf A. full_name: Diringer, Asaf A. last_name: Diringer - first_name: Tobias full_name: Gulden, Tobias id: 1083E038-9F73-11E9-A4B5-532AE6697425 last_name: Gulden orcid: 0000-0001-6814-7541 citation: ama: Diringer AA, Gulden T. Impact of drive harmonics on the stability of Floquet many-body localization. Physical Review B. 2021;103(21). doi:10.1103/PhysRevB.103.214204 apa: Diringer, A. A., & Gulden, T. (2021). Impact of drive harmonics on the stability of Floquet many-body localization. Physical Review B. American Physical Society. https://doi.org/10.1103/PhysRevB.103.214204 chicago: Diringer, Asaf A., and Tobias Gulden. “Impact of Drive Harmonics on the Stability of Floquet Many-Body Localization.” Physical Review B. American Physical Society, 2021. https://doi.org/10.1103/PhysRevB.103.214204. ieee: A. A. Diringer and T. Gulden, “Impact of drive harmonics on the stability of Floquet many-body localization,” Physical Review B, vol. 103, no. 21. American Physical Society, 2021. ista: Diringer AA, Gulden T. 2021. Impact of drive harmonics on the stability of Floquet many-body localization. Physical Review B. 103(21), 214204. mla: Diringer, Asaf A., and Tobias Gulden. “Impact of Drive Harmonics on the Stability of Floquet Many-Body Localization.” Physical Review B, vol. 103, no. 21, 214204, American Physical Society, 2021, doi:10.1103/PhysRevB.103.214204. short: A.A. Diringer, T. Gulden, Physical Review B 103 (2021). date_created: 2020-08-04T13:03:40Z date_published: 2021-06-21T00:00:00Z date_updated: 2023-08-04T10:56:33Z day: '21' department: - _id: MaSe doi: 10.1103/PhysRevB.103.214204 ec_funded: 1 external_id: arxiv: - '2007.14879' isi: - '000664429700005' intvolume: ' 103' isi: 1 issue: '21' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2007.14879 month: '06' oa: 1 oa_version: Preprint project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: Physical Review B publication_identifier: eissn: - '24699969' issn: - '24699950' publication_status: published publisher: American Physical Society quality_controlled: '1' status: public title: Impact of drive harmonics on the stability of Floquet many-body localization type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 103 year: '2021' ... --- _id: '8248' abstract: - lang: eng text: 'We consider the following setting: suppose that we are given a manifold M in Rd with positive reach. Moreover assume that we have an embedded simplical complex A without boundary, whose vertex set lies on the manifold, is sufficiently dense and such that all simplices in A have sufficient quality. We prove that if, locally, interiors of the projection of the simplices onto the tangent space do not intersect, then A is a triangulation of the manifold, that is, they are homeomorphic.' acknowledgement: "Open access funding provided by the Institute of Science and Technology (IST Austria). Arijit Ghosh is supported by the Ramanujan Fellowship (No. SB/S2/RJN-064/2015), India.\r\nThis work has been funded by the European Research Council under the European Union’s ERC Grant Agreement number 339025 GUDHI (Algorithmic Foundations of Geometric Understanding in Higher Dimensions). The third author is supported by Ramanujan Fellowship (No. SB/S2/RJN-064/2015), India. The fifth author also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 754411." article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Jean-Daniel full_name: Boissonnat, Jean-Daniel last_name: Boissonnat - first_name: Ramsay full_name: Dyer, Ramsay last_name: Dyer - first_name: Arijit full_name: Ghosh, Arijit last_name: Ghosh - first_name: Andre full_name: Lieutier, Andre last_name: Lieutier - first_name: Mathijs full_name: Wintraecken, Mathijs id: 307CFBC8-F248-11E8-B48F-1D18A9856A87 last_name: Wintraecken orcid: 0000-0002-7472-2220 citation: ama: Boissonnat J-D, Dyer R, Ghosh A, Lieutier A, Wintraecken M. Local conditions for triangulating submanifolds of Euclidean space. Discrete and Computational Geometry. 2021;66:666-686. doi:10.1007/s00454-020-00233-9 apa: Boissonnat, J.-D., Dyer, R., Ghosh, A., Lieutier, A., & Wintraecken, M. (2021). Local conditions for triangulating submanifolds of Euclidean space. Discrete and Computational Geometry. Springer Nature. https://doi.org/10.1007/s00454-020-00233-9 chicago: Boissonnat, Jean-Daniel, Ramsay Dyer, Arijit Ghosh, Andre Lieutier, and Mathijs Wintraecken. “Local Conditions for Triangulating Submanifolds of Euclidean Space.” Discrete and Computational Geometry. Springer Nature, 2021. https://doi.org/10.1007/s00454-020-00233-9. ieee: J.-D. Boissonnat, R. Dyer, A. Ghosh, A. Lieutier, and M. Wintraecken, “Local conditions for triangulating submanifolds of Euclidean space,” Discrete and Computational Geometry, vol. 66. Springer Nature, pp. 666–686, 2021. ista: Boissonnat J-D, Dyer R, Ghosh A, Lieutier A, Wintraecken M. 2021. Local conditions for triangulating submanifolds of Euclidean space. Discrete and Computational Geometry. 66, 666–686. mla: Boissonnat, Jean-Daniel, et al. “Local Conditions for Triangulating Submanifolds of Euclidean Space.” Discrete and Computational Geometry, vol. 66, Springer Nature, 2021, pp. 666–86, doi:10.1007/s00454-020-00233-9. short: J.-D. Boissonnat, R. Dyer, A. Ghosh, A. Lieutier, M. Wintraecken, Discrete and Computational Geometry 66 (2021) 666–686. date_created: 2020-08-11T07:11:51Z date_published: 2021-09-01T00:00:00Z date_updated: 2024-03-07T14:54:59Z day: '01' ddc: - '510' department: - _id: HeEd doi: 10.1007/s00454-020-00233-9 ec_funded: 1 external_id: isi: - '000558119300001' has_accepted_license: '1' intvolume: ' 66' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1007/s00454-020-00233-9 month: '09' oa: 1 oa_version: Published Version page: 666-686 project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: Discrete and Computational Geometry publication_identifier: eissn: - 1432-0444 issn: - 0179-5376 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Local conditions for triangulating submanifolds of Euclidean space tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 66 year: '2021' ... --- _id: '8253' abstract: - lang: eng text: Brains process information in spiking neural networks. Their intricate connections shape the diverse functions these networks perform. In comparison, the functional capabilities of models of spiking networks are still rudimentary. This shortcoming is mainly due to the lack of insight and practical algorithms to construct the necessary connectivity. Any such algorithm typically attempts to build networks by iteratively reducing the error compared to a desired output. But assigning credit to hidden units in multi-layered spiking networks has remained challenging due to the non-differentiable nonlinearity of spikes. To avoid this issue, one can employ surrogate gradients to discover the required connectivity in spiking network models. However, the choice of a surrogate is not unique, raising the question of how its implementation influences the effectiveness of the method. Here, we use numerical simulations to systematically study how essential design parameters of surrogate gradients impact learning performance on a range of classification problems. We show that surrogate gradient learning is robust to different shapes of underlying surrogate derivatives, but the choice of the derivative’s scale can substantially affect learning performance. When we combine surrogate gradients with a suitable activity regularization technique, robust information processing can be achieved in spiking networks even at the sparse activity limit. Our study provides a systematic account of the remarkable robustness of surrogate gradient learning and serves as a practical guide to model functional spiking neural networks. acknowledgement: F.Z. was supported by the Wellcome Trust (110124/Z/15/Z) and the Novartis Research Foundation. T.P.V. was supported by a Wellcome Trust Sir Henry Dale Research fellowship (WT100000), a Wellcome Trust Senior Research Fellowship (214316/Z/18/Z), and an ERC Consolidator Grant SYNAPSEEK. article_processing_charge: No article_type: original author: - first_name: Friedemann full_name: Zenke, Friedemann last_name: Zenke orcid: 0000-0003-1883-644X - first_name: Tim P full_name: Vogels, Tim P id: CB6FF8D2-008F-11EA-8E08-2637E6697425 last_name: Vogels orcid: 0000-0003-3295-6181 citation: ama: Zenke F, Vogels TP. The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks. Neural Computation. 2021;33(4):899-925. doi:10.1162/neco_a_01367 apa: Zenke, F., & Vogels, T. P. (2021). The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks. Neural Computation. MIT Press. https://doi.org/10.1162/neco_a_01367 chicago: Zenke, Friedemann, and Tim P Vogels. “The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks.” Neural Computation. MIT Press, 2021. https://doi.org/10.1162/neco_a_01367. ieee: F. Zenke and T. P. Vogels, “The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks,” Neural Computation, vol. 33, no. 4. MIT Press, pp. 899–925, 2021. ista: Zenke F, Vogels TP. 2021. The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks. Neural Computation. 33(4), 899–925. mla: Zenke, Friedemann, and Tim P. Vogels. “The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks.” Neural Computation, vol. 33, no. 4, MIT Press, 2021, pp. 899–925, doi:10.1162/neco_a_01367. short: F. Zenke, T.P. Vogels, Neural Computation 33 (2021) 899–925. date_created: 2020-08-12T12:08:24Z date_published: 2021-03-01T00:00:00Z date_updated: 2023-08-04T10:53:14Z day: '01' ddc: - '000' - '570' department: - _id: TiVo doi: 10.1162/neco_a_01367 ec_funded: 1 external_id: isi: - '000663433900003' pmid: - '33513328' file: - access_level: open_access checksum: eac5a51c24c8989ae7cf9ae32ec3bc95 content_type: application/pdf creator: dernst date_created: 2022-04-08T06:05:39Z date_updated: 2022-04-08T06:05:39Z file_id: '11131' file_name: 2021_NeuralComputation_Zenke.pdf file_size: 1611614 relation: main_file success: 1 file_date_updated: 2022-04-08T06:05:39Z has_accepted_license: '1' intvolume: ' 33' isi: 1 issue: '4' language: - iso: eng month: '03' oa: 1 oa_version: Published Version page: 899-925 pmid: 1 project: - _id: 0aacfa84-070f-11eb-9043-d7eb2c709234 call_identifier: H2020 grant_number: '819603' name: Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning. - _id: c084a126-5a5b-11eb-8a69-d75314a70a87 grant_number: 214316/Z/18/Z name: What’s in a memory? Spatiotemporal dynamics in strongly coupled recurrent neuronal networks. publication: Neural Computation publication_identifier: eissn: - 1530-888X issn: - 0899-7667 publication_status: published publisher: MIT Press quality_controlled: '1' scopus_import: '1' status: public title: The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 33 year: '2021' ... --- _id: '8286' abstract: - lang: eng text: "We consider the following dynamic load-balancing process: given an underlying graph G with n nodes, in each step t≥ 0, one unit of load is created, and placed at a randomly chosen graph node. In the same step, the chosen node picks a random neighbor, and the two nodes balance their loads by averaging them. We are interested in the expected gap between the minimum and maximum loads at nodes as the process progresses, and its dependence on n and on the graph structure. Variants of the above graphical balanced allocation process have been studied previously by Peres, Talwar, and Wieder [Peres et al., 2015], and by Sauerwald and Sun [Sauerwald and Sun, 2015]. These authors left as open the question of characterizing the gap in the case of cycle graphs in the dynamic case, where weights are created during the algorithm’s execution. For this case, the only known upper bound is of \U0001D4AA(n log n), following from a majorization argument due to [Peres et al., 2015], which analyzes a related graphical allocation process. In this paper, we provide an upper bound of \U0001D4AA (√n log n) on the expected gap of the above process for cycles of length n. We introduce a new potential analysis technique, which enables us to bound the difference in load between k-hop neighbors on the cycle, for any k ≤ n/2. We complement this with a \"gap covering\" argument, which bounds the maximum value of the gap by bounding its value across all possible subsets of a certain structure, and recursively bounding the gaps within each subset. We provide analytical and experimental evidence that our upper bound on the gap is tight up to a logarithmic factor. " acknowledgement: The authors sincerely thank Thomas Sauerwald and George Giakkoupis for insightful discussions, and Mohsen Ghaffari, Yuval Peres, and Udi Wieder for feedback on earlier versions of this draft. We also thank the ICALP anonymous reviewers for their very useful comments. Open access funding provided by Institute of Science and Technology (IST Austria). Funding was provided by European Research Council (Grant No. PR1042ERC01). article_processing_charge: Yes (via OA deal) article_type: original arxiv: 1 author: - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X - first_name: Giorgi full_name: Nadiradze, Giorgi id: 3279A00C-F248-11E8-B48F-1D18A9856A87 last_name: Nadiradze orcid: 0000-0001-5634-0731 - first_name: Amirmojtaba full_name: Sabour, Amirmojtaba id: bcc145fd-e77f-11ea-ae8b-80d661dbff67 last_name: Sabour citation: ama: Alistarh D-A, Nadiradze G, Sabour A. Dynamic averaging load balancing on cycles. Algorithmica. 2021. doi:10.1007/s00453-021-00905-9 apa: 'Alistarh, D.-A., Nadiradze, G., & Sabour, A. (2021). Dynamic averaging load balancing on cycles. Algorithmica. Virtual, Online; Germany: Springer Nature. https://doi.org/10.1007/s00453-021-00905-9' chicago: Alistarh, Dan-Adrian, Giorgi Nadiradze, and Amirmojtaba Sabour. “Dynamic Averaging Load Balancing on Cycles.” Algorithmica. Springer Nature, 2021. https://doi.org/10.1007/s00453-021-00905-9. ieee: D.-A. Alistarh, G. Nadiradze, and A. Sabour, “Dynamic averaging load balancing on cycles,” Algorithmica. Springer Nature, 2021. ista: Alistarh D-A, Nadiradze G, Sabour A. 2021. Dynamic averaging load balancing on cycles. Algorithmica. mla: Alistarh, Dan-Adrian, et al. “Dynamic Averaging Load Balancing on Cycles.” Algorithmica, Springer Nature, 2021, doi:10.1007/s00453-021-00905-9. short: D.-A. Alistarh, G. Nadiradze, A. Sabour, Algorithmica (2021). conference: end_date: 2020-07-11 location: Virtual, Online; Germany name: 'ICALP: International Colloquium on Automata, Languages, and Programming ' start_date: 2020-07-08 date_created: 2020-08-24T06:24:04Z date_published: 2021-12-24T00:00:00Z date_updated: 2024-03-05T07:35:53Z day: '24' ddc: - '000' department: - _id: DaAl doi: 10.1007/s00453-021-00905-9 ec_funded: 1 external_id: arxiv: - '2003.09297' isi: - '000734004600001' file: - access_level: open_access checksum: 21169b25b0c8e17b21e12af22bff9870 content_type: application/pdf creator: cchlebak date_created: 2021-12-27T10:36:40Z date_updated: 2021-12-27T10:36:40Z file_id: '10577' file_name: 2021_Algorithmica_Alistarh.pdf file_size: 525950 relation: main_file success: 1 file_date_updated: 2021-12-27T10:36:40Z has_accepted_license: '1' isi: 1 language: - iso: eng month: '12' oa: 1 oa_version: Published Version project: - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning - _id: B67AFEDC-15C9-11EA-A837-991A96BB2854 name: IST Austria Open Access Fund publication: Algorithmica publication_identifier: eissn: - 1432-0541 issn: - 0178-4617 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: link: - relation: earlier_version url: https://doi.org/10.4230/LIPIcs.ICALP.2020.7 record: - id: '15077' relation: earlier_version status: public scopus_import: '1' status: public title: Dynamic averaging load balancing on cycles tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 year: '2021' ... --- _id: '8317' abstract: - lang: eng text: When can a polyomino piece of paper be folded into a unit cube? Prior work studied tree-like polyominoes, but polyominoes with holes remain an intriguing open problem. We present sufficient conditions for a polyomino with one or several holes to fold into a cube, and conditions under which cube folding is impossible. In particular, we show that all but five special “basic” holes guarantee foldability. acknowledgement: This research was performed in part at the 33rd Bellairs Winter Workshop on Computational Geometry. We thank all other participants for a fruitful atmosphere. H. Akitaya was supported by NSF CCF-1422311 & 1423615. Z. Masárová was partially funded by Wittgenstein Prize, Austrian Science Fund (FWF), grant no. Z 342-N31. article_number: '101700' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Oswin full_name: Aichholzer, Oswin last_name: Aichholzer - first_name: Hugo A. full_name: Akitaya, Hugo A. last_name: Akitaya - first_name: Kenneth C. full_name: Cheung, Kenneth C. last_name: Cheung - first_name: Erik D. full_name: Demaine, Erik D. last_name: Demaine - first_name: Martin L. full_name: Demaine, Martin L. last_name: Demaine - first_name: Sándor P. full_name: Fekete, Sándor P. last_name: Fekete - first_name: Linda full_name: Kleist, Linda last_name: Kleist - first_name: Irina full_name: Kostitsyna, Irina last_name: Kostitsyna - first_name: Maarten full_name: Löffler, Maarten last_name: Löffler - first_name: Zuzana full_name: Masárová, Zuzana id: 45CFE238-F248-11E8-B48F-1D18A9856A87 last_name: Masárová orcid: 0000-0002-6660-1322 - first_name: Klara full_name: Mundilova, Klara last_name: Mundilova - first_name: Christiane full_name: Schmidt, Christiane last_name: Schmidt citation: ama: 'Aichholzer O, Akitaya HA, Cheung KC, et al. Folding polyominoes with holes into a cube. Computational Geometry: Theory and Applications. 2021;93. doi:10.1016/j.comgeo.2020.101700' apa: 'Aichholzer, O., Akitaya, H. A., Cheung, K. C., Demaine, E. D., Demaine, M. L., Fekete, S. P., … Schmidt, C. (2021). Folding polyominoes with holes into a cube. Computational Geometry: Theory and Applications. Elsevier. https://doi.org/10.1016/j.comgeo.2020.101700' chicago: 'Aichholzer, Oswin, Hugo A. Akitaya, Kenneth C. Cheung, Erik D. Demaine, Martin L. Demaine, Sándor P. Fekete, Linda Kleist, et al. “Folding Polyominoes with Holes into a Cube.” Computational Geometry: Theory and Applications. Elsevier, 2021. https://doi.org/10.1016/j.comgeo.2020.101700.' ieee: 'O. Aichholzer et al., “Folding polyominoes with holes into a cube,” Computational Geometry: Theory and Applications, vol. 93. Elsevier, 2021.' ista: 'Aichholzer O, Akitaya HA, Cheung KC, Demaine ED, Demaine ML, Fekete SP, Kleist L, Kostitsyna I, Löffler M, Masárová Z, Mundilova K, Schmidt C. 2021. Folding polyominoes with holes into a cube. Computational Geometry: Theory and Applications. 93, 101700.' mla: 'Aichholzer, Oswin, et al. “Folding Polyominoes with Holes into a Cube.” Computational Geometry: Theory and Applications, vol. 93, 101700, Elsevier, 2021, doi:10.1016/j.comgeo.2020.101700.' short: 'O. Aichholzer, H.A. Akitaya, K.C. Cheung, E.D. Demaine, M.L. Demaine, S.P. Fekete, L. Kleist, I. Kostitsyna, M. Löffler, Z. Masárová, K. Mundilova, C. Schmidt, Computational Geometry: Theory and Applications 93 (2021).' date_created: 2020-08-30T22:01:09Z date_published: 2021-02-01T00:00:00Z date_updated: 2023-08-04T10:57:42Z day: '01' department: - _id: HeEd doi: 10.1016/j.comgeo.2020.101700 external_id: arxiv: - '1910.09917' isi: - '000579185100004' intvolume: ' 93' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1910.09917v3 month: '02' oa: 1 oa_version: Preprint project: - _id: 268116B8-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z00342 name: The Wittgenstein Prize publication: 'Computational Geometry: Theory and Applications' publication_identifier: issn: - '09257721' publication_status: published publisher: Elsevier quality_controlled: '1' related_material: record: - id: '6989' relation: shorter_version status: public scopus_import: '1' status: public title: Folding polyominoes with holes into a cube type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 93 year: '2021' ... --- _id: '8338' abstract: - lang: eng text: Canonical parametrisations of classical confocal coordinate systems are introduced and exploited to construct non-planar analogues of incircular (IC) nets on individual quadrics and systems of confocal quadrics. Intimate connections with classical deformations of quadrics that are isometric along asymptotic lines and circular cross-sections of quadrics are revealed. The existence of octahedral webs of surfaces of Blaschke type generated by asymptotic and characteristic lines that are diagonally related to lines of curvature is proved theoretically and established constructively. Appropriate samplings (grids) of these webs lead to three-dimensional extensions of non-planar IC nets. Three-dimensional octahedral grids composed of planes and spatially extending (checkerboard) IC-nets are shown to arise in connection with systems of confocal quadrics in Minkowski space. In this context, the Laguerre geometric notion of conical octahedral grids of planes is introduced. The latter generalise the octahedral grids derived from systems of confocal quadrics in Minkowski space. An explicit construction of conical octahedral grids is presented. The results are accompanied by various illustrations which are based on the explicit formulae provided by the theory. acknowledgement: This research was supported by the DFG Collaborative Research Center TRR 109 “Discretization in Geometry and Dynamics”. W.K.S. was also supported by the Australian Research Council (DP1401000851). A.V.A. was also supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 78818 Alpha). article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Arseniy full_name: Akopyan, Arseniy id: 430D2C90-F248-11E8-B48F-1D18A9856A87 last_name: Akopyan orcid: 0000-0002-2548-617X - first_name: Alexander I. full_name: Bobenko, Alexander I. last_name: Bobenko - first_name: Wolfgang K. full_name: Schief, Wolfgang K. last_name: Schief - first_name: Jan full_name: Techter, Jan last_name: Techter citation: ama: Akopyan A, Bobenko AI, Schief WK, Techter J. On mutually diagonal nets on (confocal) quadrics and 3-dimensional webs. Discrete and Computational Geometry. 2021;66:938-976. doi:10.1007/s00454-020-00240-w apa: Akopyan, A., Bobenko, A. I., Schief, W. K., & Techter, J. (2021). On mutually diagonal nets on (confocal) quadrics and 3-dimensional webs. Discrete and Computational Geometry. Springer Nature. https://doi.org/10.1007/s00454-020-00240-w chicago: Akopyan, Arseniy, Alexander I. Bobenko, Wolfgang K. Schief, and Jan Techter. “On Mutually Diagonal Nets on (Confocal) Quadrics and 3-Dimensional Webs.” Discrete and Computational Geometry. Springer Nature, 2021. https://doi.org/10.1007/s00454-020-00240-w. ieee: A. Akopyan, A. I. Bobenko, W. K. Schief, and J. Techter, “On mutually diagonal nets on (confocal) quadrics and 3-dimensional webs,” Discrete and Computational Geometry, vol. 66. Springer Nature, pp. 938–976, 2021. ista: Akopyan A, Bobenko AI, Schief WK, Techter J. 2021. On mutually diagonal nets on (confocal) quadrics and 3-dimensional webs. Discrete and Computational Geometry. 66, 938–976. mla: Akopyan, Arseniy, et al. “On Mutually Diagonal Nets on (Confocal) Quadrics and 3-Dimensional Webs.” Discrete and Computational Geometry, vol. 66, Springer Nature, 2021, pp. 938–76, doi:10.1007/s00454-020-00240-w. short: A. Akopyan, A.I. Bobenko, W.K. Schief, J. Techter, Discrete and Computational Geometry 66 (2021) 938–976. date_created: 2020-09-06T22:01:13Z date_published: 2021-10-01T00:00:00Z date_updated: 2024-03-07T14:51:11Z day: '01' department: - _id: HeEd doi: 10.1007/s00454-020-00240-w ec_funded: 1 external_id: arxiv: - '1908.00856' isi: - '000564488500002' intvolume: ' 66' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1908.00856 month: '10' oa: 1 oa_version: Preprint page: 938-976 project: - _id: 266A2E9E-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '788183' name: Alpha Shape Theory Extended publication: Discrete and Computational Geometry publication_identifier: eissn: - 1432-0444 issn: - 0179-5376 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: On mutually diagonal nets on (confocal) quadrics and 3-dimensional webs type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 66 year: '2021' ... --- _id: '8373' abstract: - lang: eng text: It is well known that special Kubo-Ando operator means admit divergence center interpretations, moreover, they are also mean squared error estimators for certain metrics on positive definite operators. In this paper we give a divergence center interpretation for every symmetric Kubo-Ando mean. This characterization of the symmetric means naturally leads to a definition of weighted and multivariate versions of a large class of symmetric Kubo-Ando means. We study elementary properties of these weighted multivariate means, and note in particular that in the special case of the geometric mean we recover the weighted A#H-mean introduced by Kim, Lawson, and Lim. acknowledgement: "The authors are grateful to Milán Mosonyi for fruitful discussions on the topic, and to the anonymous referee for his/her comments and suggestions.\r\nJ. Pitrik was supported by the Hungarian Academy of Sciences Lendület-Momentum Grant for Quantum Information Theory, No. 96 141, and by Hungarian National Research, Development and Innovation Office (NKFIH) via grants no. K119442, no. K124152, and no. KH129601. D. Virosztek was supported by the ISTFELLOW program of the Institute of Science and Technology Austria (project code IC1027FELL01), by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 846294, and partially supported by the Hungarian National Research, Development and Innovation Office (NKFIH) via grants no. K124152, and no. KH129601." article_processing_charge: No article_type: original arxiv: 1 author: - first_name: József full_name: Pitrik, József last_name: Pitrik - first_name: Daniel full_name: Virosztek, Daniel id: 48DB45DA-F248-11E8-B48F-1D18A9856A87 last_name: Virosztek orcid: 0000-0003-1109-5511 citation: ama: Pitrik J, Virosztek D. A divergence center interpretation of general symmetric Kubo-Ando means, and related weighted multivariate operator means. Linear Algebra and its Applications. 2021;609:203-217. doi:10.1016/j.laa.2020.09.007 apa: Pitrik, J., & Virosztek, D. (2021). A divergence center interpretation of general symmetric Kubo-Ando means, and related weighted multivariate operator means. Linear Algebra and Its Applications. Elsevier. https://doi.org/10.1016/j.laa.2020.09.007 chicago: Pitrik, József, and Daniel Virosztek. “A Divergence Center Interpretation of General Symmetric Kubo-Ando Means, and Related Weighted Multivariate Operator Means.” Linear Algebra and Its Applications. Elsevier, 2021. https://doi.org/10.1016/j.laa.2020.09.007. ieee: J. Pitrik and D. Virosztek, “A divergence center interpretation of general symmetric Kubo-Ando means, and related weighted multivariate operator means,” Linear Algebra and its Applications, vol. 609. Elsevier, pp. 203–217, 2021. ista: Pitrik J, Virosztek D. 2021. A divergence center interpretation of general symmetric Kubo-Ando means, and related weighted multivariate operator means. Linear Algebra and its Applications. 609, 203–217. mla: Pitrik, József, and Daniel Virosztek. “A Divergence Center Interpretation of General Symmetric Kubo-Ando Means, and Related Weighted Multivariate Operator Means.” Linear Algebra and Its Applications, vol. 609, Elsevier, 2021, pp. 203–17, doi:10.1016/j.laa.2020.09.007. short: J. Pitrik, D. Virosztek, Linear Algebra and Its Applications 609 (2021) 203–217. date_created: 2020-09-11T08:35:50Z date_published: 2021-01-15T00:00:00Z date_updated: 2023-08-04T10:58:14Z day: '15' department: - _id: LaEr doi: 10.1016/j.laa.2020.09.007 ec_funded: 1 external_id: arxiv: - '2002.11678' isi: - '000581730500011' intvolume: ' 609' isi: 1 keyword: - Kubo-Ando mean - weighted multivariate mean - barycenter language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2002.11678 month: '01' oa: 1 oa_version: Preprint page: 203-217 project: - _id: 26A455A6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '846294' name: Geometric study of Wasserstein spaces and free probability - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Linear Algebra and its Applications publication_identifier: issn: - 0024-3795 publication_status: published publisher: Elsevier quality_controlled: '1' status: public title: A divergence center interpretation of general symmetric Kubo-Ando means, and related weighted multivariate operator means type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 609 year: '2021' ... --- _id: '8429' abstract: - lang: eng text: We develop a Bayesian model (BayesRR-RC) that provides robust SNP-heritability estimation, an alternative to marker discovery, and accurate genomic prediction, taking 22 seconds per iteration to estimate 8.4 million SNP-effects and 78 SNP-heritability parameters in the UK Biobank. We find that only ≤10% of the genetic variation captured for height, body mass index, cardiovascular disease, and type 2 diabetes is attributable to proximal regulatory regions within 10kb upstream of genes, while 12-25% is attributed to coding regions, 32–44% to introns, and 22-28% to distal 10-500kb upstream regions. Up to 24% of all cis and coding regions of each chromosome are associated with each trait, with over 3,100 independent exonic and intronic regions and over 5,400 independent regulatory regions having ≥95% probability of contributing ≥0.001% to the genetic variance of these four traits. Our open-source software (GMRM) provides a scalable alternative to current approaches for biobank data. acknowledgement: This project was funded by an SNSF Eccellenza Grant to MRR (PCEGP3-181181), and by core funding from the Institute of Science and Technology Austria. We would like to thank the participants of the cohort studies, and the Ecole Polytechnique Federal Lausanne (EPFL) SCITAS for their excellent compute resources, their generosity with their time and the kindness of their support. P.M.V. acknowledges funding from the Australian National Health and Medical Research Council (1113400) and the Australian Research Council (FL180100072). L.R. acknowledges funding from the Kjell & Märta Beijer Foundation (Stockholm, Sweden). We also would like to acknowledge Simone Rubinacci, Oliver Delanau, Alexander Terenin, Eleonora Porcu, and Mike Goddard for their useful comments and suggestions. article_number: '6972' article_processing_charge: No article_type: original author: - first_name: Marion full_name: Patxot, Marion last_name: Patxot - first_name: Daniel full_name: Trejo Banos, Daniel last_name: Trejo Banos - first_name: Athanasios full_name: Kousathanas, Athanasios last_name: Kousathanas - first_name: Etienne J full_name: Orliac, Etienne J last_name: Orliac - first_name: Sven E full_name: Ojavee, Sven E last_name: Ojavee - first_name: Gerhard full_name: Moser, Gerhard last_name: Moser - first_name: Julia full_name: Sidorenko, Julia last_name: Sidorenko - first_name: Zoltan full_name: Kutalik, Zoltan last_name: Kutalik - first_name: Reedik full_name: Magi, Reedik last_name: Magi - first_name: Peter M full_name: Visscher, Peter M last_name: Visscher - first_name: Lars full_name: Ronnegard, Lars last_name: Ronnegard - first_name: Matthew Richard full_name: Robinson, Matthew Richard id: E5D42276-F5DA-11E9-8E24-6303E6697425 last_name: Robinson orcid: 0000-0001-8982-8813 citation: ama: Patxot M, Trejo Banos D, Kousathanas A, et al. Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits. Nature Communications. 2021;12(1). doi:10.1038/s41467-021-27258-9 apa: Patxot, M., Trejo Banos, D., Kousathanas, A., Orliac, E. J., Ojavee, S. E., Moser, G., … Robinson, M. R. (2021). Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-021-27258-9 chicago: Patxot, Marion, Daniel Trejo Banos, Athanasios Kousathanas, Etienne J Orliac, Sven E Ojavee, Gerhard Moser, Julia Sidorenko, et al. “Probabilistic Inference of the Genetic Architecture Underlying Functional Enrichment of Complex Traits.” Nature Communications. Springer Nature, 2021. https://doi.org/10.1038/s41467-021-27258-9. ieee: M. Patxot et al., “Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits,” Nature Communications, vol. 12, no. 1. Springer Nature, 2021. ista: Patxot M, Trejo Banos D, Kousathanas A, Orliac EJ, Ojavee SE, Moser G, Sidorenko J, Kutalik Z, Magi R, Visscher PM, Ronnegard L, Robinson MR. 2021. Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits. Nature Communications. 12(1), 6972. mla: Patxot, Marion, et al. “Probabilistic Inference of the Genetic Architecture Underlying Functional Enrichment of Complex Traits.” Nature Communications, vol. 12, no. 1, 6972, Springer Nature, 2021, doi:10.1038/s41467-021-27258-9. short: M. Patxot, D. Trejo Banos, A. Kousathanas, E.J. Orliac, S.E. Ojavee, G. Moser, J. Sidorenko, Z. Kutalik, R. Magi, P.M. Visscher, L. Ronnegard, M.R. Robinson, Nature Communications 12 (2021). date_created: 2020-09-17T10:52:38Z date_published: 2021-11-30T00:00:00Z date_updated: 2023-09-26T10:36:14Z day: '30' ddc: - '610' department: - _id: MaRo doi: 10.1038/s41467-021-27258-9 external_id: isi: - '000724450600023' file: - access_level: open_access checksum: 384681be17aff902c149a48f52d13d4f content_type: application/pdf creator: cchlebak date_created: 2021-12-06T07:47:11Z date_updated: 2021-12-06T07:47:11Z file_id: '10419' file_name: 2021_NatComm_Paxtot.pdf file_size: 6519771 relation: main_file success: 1 file_date_updated: 2021-12-06T07:47:11Z has_accepted_license: '1' intvolume: ' 12' isi: 1 issue: '1' language: - iso: eng month: '11' oa: 1 oa_version: Published Version publication: Nature Communications publication_identifier: eissn: - 2041-1723 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: record: - id: '13063' relation: research_data status: public scopus_import: '1' status: public title: Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 12 year: '2021' ... --- _id: '8430' abstract: - lang: eng text: While recent advancements in computation and modelling have improved the analysis of complex traits, our understanding of the genetic basis of the time at symptom onset remains limited. Here, we develop a Bayesian approach (BayesW) that provides probabilistic inference of the genetic architecture of age-at-onset phenotypes in a sampling scheme that facilitates biobank-scale time-to-event analyses. We show in extensive simulation work the benefits BayesW provides in terms of number of discoveries, model performance and genomic prediction. In the UK Biobank, we find many thousands of common genomic regions underlying the age-at-onset of high blood pressure (HBP), cardiac disease (CAD), and type-2 diabetes (T2D), and for the genetic basis of onset reflecting the underlying genetic liability to disease. Age-at-menopause and age-at-menarche are also highly polygenic, but with higher variance contributed by low frequency variants. Genomic prediction into the Estonian Biobank data shows that BayesW gives higher prediction accuracy than other approaches. acknowledgement: This project was funded by an SNSF Eccellenza Grant to MRR (PCEGP3-181181), and by core funding from the Institute of Science and Technology Austria and the University of Lausanne; the work of KF was supported by the grant PUT1665 by the Estonian Research Council. We would like to thank Mike Goddard for comments which greatly improved the work, the participants of the cohort studies, and the Ecole Polytechnique Federal Lausanne (EPFL) SCITAS for their excellent compute resources, their generosity with their time and the kindness of their support. article_number: '2337' article_processing_charge: No author: - first_name: Sven E full_name: Ojavee, Sven E last_name: Ojavee - first_name: Athanasios full_name: Kousathanas, Athanasios last_name: Kousathanas - first_name: Daniel full_name: Trejo Banos, Daniel last_name: Trejo Banos - first_name: Etienne J full_name: Orliac, Etienne J last_name: Orliac - first_name: Marion full_name: Patxot, Marion last_name: Patxot - first_name: Kristi full_name: Lall, Kristi last_name: Lall - first_name: Reedik full_name: Magi, Reedik last_name: Magi - first_name: Krista full_name: Fischer, Krista last_name: Fischer - first_name: Zoltan full_name: Kutalik, Zoltan last_name: Kutalik - first_name: Matthew Richard full_name: Robinson, Matthew Richard id: E5D42276-F5DA-11E9-8E24-6303E6697425 last_name: Robinson orcid: 0000-0001-8982-8813 citation: ama: Ojavee SE, Kousathanas A, Trejo Banos D, et al. Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis. Nature Communications. 2021;12(1). doi:10.1038/s41467-021-22538-w apa: Ojavee, S. E., Kousathanas, A., Trejo Banos, D., Orliac, E. J., Patxot, M., Lall, K., … Robinson, M. R. (2021). Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis. Nature Communications. Nature Research. https://doi.org/10.1038/s41467-021-22538-w chicago: Ojavee, Sven E, Athanasios Kousathanas, Daniel Trejo Banos, Etienne J Orliac, Marion Patxot, Kristi Lall, Reedik Magi, Krista Fischer, Zoltan Kutalik, and Matthew Richard Robinson. “Genomic Architecture and Prediction of Censored Time-to-Event Phenotypes with a Bayesian Genome-Wide Analysis.” Nature Communications. Nature Research, 2021. https://doi.org/10.1038/s41467-021-22538-w. ieee: S. E. Ojavee et al., “Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis,” Nature Communications, vol. 12, no. 1. Nature Research, 2021. ista: Ojavee SE, Kousathanas A, Trejo Banos D, Orliac EJ, Patxot M, Lall K, Magi R, Fischer K, Kutalik Z, Robinson MR. 2021. Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis. Nature Communications. 12(1), 2337. mla: Ojavee, Sven E., et al. “Genomic Architecture and Prediction of Censored Time-to-Event Phenotypes with a Bayesian Genome-Wide Analysis.” Nature Communications, vol. 12, no. 1, 2337, Nature Research, 2021, doi:10.1038/s41467-021-22538-w. short: S.E. Ojavee, A. Kousathanas, D. Trejo Banos, E.J. Orliac, M. Patxot, K. Lall, R. Magi, K. Fischer, Z. Kutalik, M.R. Robinson, Nature Communications 12 (2021). date_created: 2020-09-17T10:53:00Z date_published: 2021-04-20T00:00:00Z date_updated: 2023-08-04T11:00:17Z day: '20' ddc: - '570' department: - _id: MaRo doi: 10.1038/s41467-021-22538-w external_id: isi: - '000642509600006' file: - access_level: open_access checksum: eca8b9ae713835c5b785211dd08d8a2e content_type: application/pdf creator: kschuh date_created: 2021-05-04T15:07:50Z date_updated: 2021-05-04T15:07:50Z file_id: '9372' file_name: 2021_nature_communications_Ojavee.pdf file_size: 6474239 relation: main_file success: 1 file_date_updated: 2021-05-04T15:07:50Z has_accepted_license: '1' intvolume: ' 12' isi: 1 issue: '1' language: - iso: eng month: '04' oa: 1 oa_version: Published Version project: - _id: 9B8D11D6-BA93-11EA-9121-9846C619BF3A grant_number: PCEGP3_181181 name: Improving estimation and prediction of common complex disease risk publication: Nature Communications publication_identifier: eissn: - '20411723' publication_status: published publisher: Nature Research quality_controlled: '1' related_material: link: - description: News on IST Homepage relation: press_release url: https://ist.ac.at/en/news/predicting-the-onset-of-diseases/ scopus_import: '1' status: public title: Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 12 year: '2021' ... --- _id: '8544' abstract: - lang: eng text: The synaptotrophic hypothesis posits that synapse formation stabilizes dendritic branches, yet this hypothesis has not been causally tested in vivo in the mammalian brain. Presynaptic ligand cerebellin-1 (Cbln1) and postsynaptic receptor GluD2 mediate synaptogenesis between granule cells and Purkinje cells in the molecular layer of the cerebellar cortex. Here we show that sparse but not global knockout of GluD2 causes under-elaboration of Purkinje cell dendrites in the deep molecular layer and overelaboration in the superficial molecular layer. Developmental, overexpression, structure-function, and genetic epistasis analyses indicate that dendrite morphogenesis defects result from competitive synaptogenesis in a Cbln1/GluD2-dependent manner. A generative model of dendritic growth based on competitive synaptogenesis largely recapitulates GluD2 sparse and global knockout phenotypes. Our results support the synaptotrophic hypothesis at initial stages of dendrite development, suggest a second mode in which cumulative synapse formation inhibits further dendrite growth, and highlight the importance of competition in dendrite morphogenesis. acknowledgement: We thank M. Mishina for GluD2fl frozen embryos, T.C. Südhof and J.I. Morgan for Cbln1fl mice, L. Anderson for help in generating the MADM alleles, W. Joo for a previously unpublished construct, M. Yuzaki, K. Shen, J. Ding, and members of the Luo lab, including J.M. Kebschull, H. Li, J. Li, T. Li, C.M. McLaughlin, D. Pederick, J. Ren, D.C. Wang and C. Xu for discussions and critiques of the manuscript, and M. Yuzaki for supporting Y.H.T. during the final phase of this project. Y.H.T. was supported by a JSPS fellowship; S.A.S. was supported by a Stanford Graduate Fellowship and an NSF Predoctoral Fellowship; L.J. is supported by a Stanford Graduate Fellowship and an NSF Predoctoral Fellowship; M.J.W. is supported by a Burroughs Wellcome Fund CASI Award. This work was supported by an NIH grant (R01-NS050538) to L.L.; the European Research Council (ERC) under the European Union's Horizon 2020 research and innovations programme (No. 725780 LinPro) to S.H.; and Simons and James S. McDonnell Foundations and an NSF CAREER award to S.G.; L.L. is an HHMI investigator. article_processing_charge: No article_type: original author: - first_name: Yukari H. full_name: Takeo, Yukari H. last_name: Takeo - first_name: S. Andrew full_name: Shuster, S. Andrew last_name: Shuster - first_name: Linnie full_name: Jiang, Linnie last_name: Jiang - first_name: Miley full_name: Hu, Miley last_name: Hu - first_name: David J. full_name: Luginbuhl, David J. last_name: Luginbuhl - first_name: Thomas full_name: Rülicke, Thomas last_name: Rülicke - first_name: Ximena full_name: Contreras, Ximena id: 475990FE-F248-11E8-B48F-1D18A9856A87 last_name: Contreras - first_name: Simon full_name: Hippenmeyer, Simon id: 37B36620-F248-11E8-B48F-1D18A9856A87 last_name: Hippenmeyer orcid: 0000-0003-2279-1061 - first_name: Mark J. full_name: Wagner, Mark J. last_name: Wagner - first_name: Surya full_name: Ganguli, Surya last_name: Ganguli - first_name: Liqun full_name: Luo, Liqun last_name: Luo citation: ama: Takeo YH, Shuster SA, Jiang L, et al. GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells. Neuron. 2021;109(4):P629-644.E8. doi:10.1016/j.neuron.2020.11.028 apa: Takeo, Y. H., Shuster, S. A., Jiang, L., Hu, M., Luginbuhl, D. J., Rülicke, T., … Luo, L. (2021). GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2020.11.028 chicago: Takeo, Yukari H., S. Andrew Shuster, Linnie Jiang, Miley Hu, David J. Luginbuhl, Thomas Rülicke, Ximena Contreras, et al. “GluD2- and Cbln1-Mediated Competitive Synaptogenesis Shapes the Dendritic Arbors of Cerebellar Purkinje Cells.” Neuron. Elsevier, 2021. https://doi.org/10.1016/j.neuron.2020.11.028. ieee: Y. H. Takeo et al., “GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells,” Neuron, vol. 109, no. 4. Elsevier, p. P629–644.E8, 2021. ista: Takeo YH, Shuster SA, Jiang L, Hu M, Luginbuhl DJ, Rülicke T, Contreras X, Hippenmeyer S, Wagner MJ, Ganguli S, Luo L. 2021. GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells. Neuron. 109(4), P629–644.E8. mla: Takeo, Yukari H., et al. “GluD2- and Cbln1-Mediated Competitive Synaptogenesis Shapes the Dendritic Arbors of Cerebellar Purkinje Cells.” Neuron, vol. 109, no. 4, Elsevier, 2021, p. P629–644.E8, doi:10.1016/j.neuron.2020.11.028. short: Y.H. Takeo, S.A. Shuster, L. Jiang, M. Hu, D.J. Luginbuhl, T. Rülicke, X. Contreras, S. Hippenmeyer, M.J. Wagner, S. Ganguli, L. Luo, Neuron 109 (2021) P629–644.E8. date_created: 2020-09-21T11:59:47Z date_published: 2021-02-17T00:00:00Z date_updated: 2024-03-06T12:12:48Z day: '17' department: - _id: SiHi doi: 10.1016/j.neuron.2020.11.028 ec_funded: 1 intvolume: ' 109' issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1101/2020.06.14.151258 month: '02' oa: 1 oa_version: Preprint page: P629-644.E8 project: - _id: 260018B0-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '725780' name: Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development publication: Neuron publication_identifier: eissn: - 1097-4199 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 109 year: '2021' ... --- _id: '8546' abstract: - lang: eng text: Brain neurons arise from relatively few progenitors generating an enormous diversity of neuronal types. Nonetheless, a cardinal feature of mammalian brain neurogenesis is thought to be that excitatory and inhibitory neurons derive from separate, spatially segregated progenitors. Whether bi-potential progenitors with an intrinsic capacity to generate both lineages exist and how such a fate decision may be regulated are unknown. Using cerebellar development as a model, we discover that individual progenitors can give rise to both inhibitory and excitatory lineages. Gradations of Notch activity determine the fates of the progenitors and their daughters. Daughters with the highest levels of Notch activity retain the progenitor fate, while intermediate levels of Notch activity generate inhibitory neurons, and daughters with very low levels of Notch signaling adopt the excitatory fate. Therefore, Notch-mediated binary cell fate choice is a mechanism for regulating the ratio of excitatory to inhibitory neurons from common progenitors. acknowledgement: This work was supported by the program “Investissements d’avenir” ANR-10-IAIHU-06 , ICM , a Sorbonne Université Emergence grant, an Allen Distinguished Investigator Award , and the Roger De Spoelberch Foundation Prize (to B.A.H.); Armenise-Harvard Foundation , AIRC , and CARITRO (to L.T.); and the European Research Council under the European Union’s Horizon 2020 research and innovation programme grant agreement no. 725780 LinPro (to S.H.). T.Z. and T.L. were supported by doctoral fellowships from the China Scholarship Council and A.H.H. by a doctoral DOC fellowship of the Austrian Academy of Sciences ( 24812 ). All animal work was conducted at the PHENO-ICMice facility. The Core is supported by 2 “Investissements d’avenir” (ANR-10- IAIHU-06 and ANR-11-INBS-0011-NeurATRIS) and the “Fondation pour la Recherche Médicale.” Light microscopy work was carried out at ICM’s imaging core facility, ICM.Quant, and analysis of scRNA-seq data was carried out at ICM’s bioinformatics core facility, iCONICS. We thank Paulina Ejsmont, Natalia Danda, and Nathalie De Geest for technical support. We are grateful to Dr. Shahragim TAJBAKHSH for providing R26Rstop-NICD-nGFP transgenic mice, Dr. Bart De Strooper for Psn1-deficient mice, Dr. Jean-Christophe Marine for Gt(ROSA)26SortdTom reporter mice, and Dr. Martinez Barbera for Sox2CreERT2 mice. We also give thanks to Dr. Mikio Hoshino for providing Atoh1 and Ptf1a antibodies. B.A.H. is an Einstein Visiting Fellow of the Berlin Institute of Health . article_number: '109208' article_processing_charge: No article_type: original author: - first_name: Tingting full_name: Zhang, Tingting last_name: Zhang - first_name: Tengyuan full_name: Liu, Tengyuan last_name: Liu - first_name: Natalia full_name: Mora, Natalia last_name: Mora - first_name: Justine full_name: Guegan, Justine last_name: Guegan - first_name: Mathilde full_name: Bertrand, Mathilde last_name: Bertrand - first_name: Ximena full_name: Contreras, Ximena id: 475990FE-F248-11E8-B48F-1D18A9856A87 last_name: Contreras - first_name: Andi H full_name: Hansen, Andi H id: 38853E16-F248-11E8-B48F-1D18A9856A87 last_name: Hansen - first_name: Carmen full_name: Streicher, Carmen id: 36BCB99C-F248-11E8-B48F-1D18A9856A87 last_name: Streicher - first_name: Marica full_name: Anderle, Marica last_name: Anderle - first_name: Natasha full_name: Danda, Natasha last_name: Danda - first_name: Luca full_name: Tiberi, Luca last_name: Tiberi - first_name: Simon full_name: Hippenmeyer, Simon id: 37B36620-F248-11E8-B48F-1D18A9856A87 last_name: Hippenmeyer orcid: 0000-0003-2279-1061 - first_name: Bassem A. full_name: Hassan, Bassem A. last_name: Hassan citation: ama: Zhang T, Liu T, Mora N, et al. Generation of excitatory and inhibitory neurons from common progenitors via Notch signaling in the cerebellum. Cell Reports. 2021;35(10). doi:10.1016/j.celrep.2021.109208 apa: Zhang, T., Liu, T., Mora, N., Guegan, J., Bertrand, M., Contreras, X., … Hassan, B. A. (2021). Generation of excitatory and inhibitory neurons from common progenitors via Notch signaling in the cerebellum. Cell Reports. Elsevier. https://doi.org/10.1016/j.celrep.2021.109208 chicago: Zhang, Tingting, Tengyuan Liu, Natalia Mora, Justine Guegan, Mathilde Bertrand, Ximena Contreras, Andi H Hansen, et al. “Generation of Excitatory and Inhibitory Neurons from Common Progenitors via Notch Signaling in the Cerebellum.” Cell Reports. Elsevier, 2021. https://doi.org/10.1016/j.celrep.2021.109208. ieee: T. Zhang et al., “Generation of excitatory and inhibitory neurons from common progenitors via Notch signaling in the cerebellum,” Cell Reports, vol. 35, no. 10. Elsevier, 2021. ista: Zhang T, Liu T, Mora N, Guegan J, Bertrand M, Contreras X, Hansen AH, Streicher C, Anderle M, Danda N, Tiberi L, Hippenmeyer S, Hassan BA. 2021. Generation of excitatory and inhibitory neurons from common progenitors via Notch signaling in the cerebellum. Cell Reports. 35(10), 109208. mla: Zhang, Tingting, et al. “Generation of Excitatory and Inhibitory Neurons from Common Progenitors via Notch Signaling in the Cerebellum.” Cell Reports, vol. 35, no. 10, 109208, Elsevier, 2021, doi:10.1016/j.celrep.2021.109208. short: T. Zhang, T. Liu, N. Mora, J. Guegan, M. Bertrand, X. Contreras, A.H. Hansen, C. Streicher, M. Anderle, N. Danda, L. Tiberi, S. Hippenmeyer, B.A. Hassan, Cell Reports 35 (2021). date_created: 2020-09-21T12:00:48Z date_published: 2021-06-08T00:00:00Z date_updated: 2023-08-04T11:00:48Z day: '08' ddc: - '570' department: - _id: SiHi doi: 10.1016/j.celrep.2021.109208 ec_funded: 1 external_id: isi: - '000659894300001' pmid: - '34107249 ' file: - access_level: open_access checksum: 7def3d42ebc8f5675efb6f38819e3e2e content_type: application/pdf creator: cziletti date_created: 2021-06-15T14:01:35Z date_updated: 2021-06-15T14:01:35Z file_id: '9554' file_name: 2021_CellReports_Zhang.pdf file_size: 8900385 relation: main_file success: 1 file_date_updated: 2021-06-15T14:01:35Z has_accepted_license: '1' intvolume: ' 35' isi: 1 issue: '10' language: - iso: eng month: '06' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 260018B0-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '725780' name: Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development - _id: 2625A13E-B435-11E9-9278-68D0E5697425 grant_number: '24812' name: Molecular Mechanisms of Radial Neuronal Migration publication: Cell Reports publication_identifier: eissn: - ' 22111247' publication_status: published publisher: Elsevier quality_controlled: '1' related_material: link: - relation: earlier_version url: https://doi.org/10.1101/2020.03.18.997205 scopus_import: '1' status: public title: Generation of excitatory and inhibitory neurons from common progenitors via Notch signaling in the cerebellum tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 35 year: '2021' ...