---
_id: '6995'
abstract:
- lang: eng
text: Human brain organoids represent a powerful tool for the study of human neurological
diseases particularly those that impact brain growth and structure. However, many
neurological diseases lack obvious anatomical abnormalities, yet significantly
impact neural network functions, raising the question of whether organoids possess
sufficient neural network architecture and complexity to model these conditions.
Here, we explore the network level functions of brain organoids using calcium
sensor imaging and extracellular recording approaches that together reveal the
existence of complex oscillatory network behaviors reminiscent of intact brain
preparations. We further demonstrate strikingly abnormal epileptiform network
activity in organoids derived from a Rett Syndrome patient despite only modest
anatomical differences from isogenically matched controls, and rescue with an
unconventional neuromodulatory drug Pifithrin-α. Together, these findings provide
an essential foundation for the utilization of human brain organoids to study
intact and disordered human brain network formation and illustrate their utility
in therapeutic discovery.
acknowledgement: We thank S. Butler, T. Carmichael and members of the laboratory of
B.G.N. for helpful discussions and comments on the manuscript; N. Vishlaghi and
F. Turcios-Hernandez for technical assistance, and J. Lee, S.-K. Lee, H. Shinagawa
and K. Yoshikawa for valuable reagents. We also thank the UCLA Eli and Edythe Broad
Stem Cell Research Center (BSCRC) and Intellectual and Developmental Disabilities
Research Center microscopy cores for access to imaging facilities. This work was
supported by grants from the California Institute for Regenerative Medicine (CIRM)
(DISC1-08819 to B.G.N.), the National Institute of Health (R01NS089817, R01DA051897
and P50HD103557 to B.G.N.; K08NS119747 to R.A.S.; K99HD096105 to M.W.; R01MH123922,
R01MH121521 and P50HD103557 to M.J.G.; R01GM099134 to K.P.; R01NS103788 to W.E.L.;
R01NS088571 to J.M.P.; R01NS030549 and R01AG050474 to I.M.), and research awards
from the UCLA Jonsson Comprehensive Cancer Center and BSCRC Ablon Scholars Program
(to B.G.N.), the BSCRC Innovation Program (to B.G.N., K.P. and W.E.L.), the UCLA
BSCRC Steffy Brain Aging Research Fund (to B.G.N. and W.E.L.) and the UCLA Clinical
and Translational Science Institute (to B.G.N.), Paul Allen Family Foundation Frontiers
Group (to K.P. and W.E.L.), the March of Dimes Foundation (to W.E.L.) and the Simons
Foundation Autism Research Initiative Bridge to Independence Program (to R.A.S.
and M.J.G.). R.A.S. was also supported by the UCLA/NINDS Translational Neuroscience
Training Grant (R25NS065723), a Research and Training Fellowship from the American
Epilepsy Society, a Taking Flight Award from CURE Epilepsy and a Clinician Scientist
training award from the UCLA BSCRC. J.E.B. was supported by the UCLA BSCRC Rose
Hills Foundation Graduate Scholarship Training Program. M.W. was supported by postdoctoral
training awards provided by the UCLA BSCRC and the Uehara Memorial Foundation. O.A.M.
and A.K. were supported in part by the UCLA-California State University Northridge
CIRM-Bridges training program (EDUC2-08411). We also acknowledge the support of
the IDDRC Cells, Circuits and Systems Analysis, Microscopy and Genetics and Genomics
Cores of the Semel Institute of Neuroscience at UCLA, which are supported by the
NICHD (U54HD087101 and P50HD10355701). We lastly acknowledge support from a Quantitative
and Computational Biosciences Collaboratory Postdoctoral Fellowship to S.M. and
the Quantitative and Computational Biosciences Collaboratory community, directed
by M. Pellegrini.
alternative_title:
- Nature Neuroscience
article_processing_charge: Yes
author:
- first_name: Ranmal A.
full_name: Samarasinghe, Ranmal A.
last_name: Samarasinghe
- first_name: Osvaldo
full_name: Miranda, Osvaldo
id: 862A3C56-A8BF-11E9-B4FA-D9E3E5697425
last_name: Miranda
orcid: 0000-0001-6618-6889
- first_name: Jessie E.
full_name: Buth, Jessie E.
last_name: Buth
- first_name: Simon
full_name: Mitchell, Simon
last_name: Mitchell
- first_name: Isabella
full_name: Ferando, Isabella
last_name: Ferando
- first_name: Momoko
full_name: Watanabe, Momoko
last_name: Watanabe
- first_name: Arinnae
full_name: Kurdian, Arinnae
last_name: Kurdian
- first_name: Peyman
full_name: Golshani, Peyman
last_name: Golshani
- first_name: Kathrin
full_name: Plath, Kathrin
last_name: Plath
- first_name: William E.
full_name: Lowry, William E.
last_name: Lowry
- first_name: Jack M.
full_name: Parent, Jack M.
last_name: Parent
- first_name: Istvan
full_name: Mody, Istvan
last_name: Mody
- first_name: Bennett G.
full_name: Novitch, Bennett G.
last_name: Novitch
citation:
ama: Samarasinghe RA, Miranda O, Buth JE, et al. Identification of Neural Oscillations
and Epileptiform Changes in Human Brain Organoids. Vol 24. Springer Nature;
2021. doi:10.1038/s41593-021-00906-5
apa: Samarasinghe, R. A., Miranda, O., Buth, J. E., Mitchell, S., Ferando, I., Watanabe,
M., … Novitch, B. G. (2021). Identification of neural oscillations and epileptiform
changes in human brain organoids (Vol. 24). Springer Nature. https://doi.org/10.1038/s41593-021-00906-5
chicago: Samarasinghe, Ranmal A., Osvaldo Miranda, Jessie E. Buth, Simon Mitchell,
Isabella Ferando, Momoko Watanabe, Arinnae Kurdian, et al. Identification of
Neural Oscillations and Epileptiform Changes in Human Brain Organoids. Vol.
24. Springer Nature, 2021. https://doi.org/10.1038/s41593-021-00906-5.
ieee: R. A. Samarasinghe et al., Identification of neural oscillations
and epileptiform changes in human brain organoids, vol. 24. Springer Nature,
2021.
ista: Samarasinghe RA, Miranda O, Buth JE, Mitchell S, Ferando I, Watanabe M, Kurdian
A, Golshani P, Plath K, Lowry WE, Parent JM, Mody I, Novitch BG. 2021. Identification
of neural oscillations and epileptiform changes in human brain organoids, Springer
Nature, 32p.
mla: Samarasinghe, Ranmal A., et al. Identification of Neural Oscillations and
Epileptiform Changes in Human Brain Organoids. Vol. 24, Springer Nature, 2021,
doi:10.1038/s41593-021-00906-5.
short: R.A. Samarasinghe, O. Miranda, J.E. Buth, S. Mitchell, I. Ferando, M. Watanabe,
A. Kurdian, P. Golshani, K. Plath, W.E. Lowry, J.M. Parent, I. Mody, B.G. Novitch,
Identification of Neural Oscillations and Epileptiform Changes in Human Brain
Organoids, Springer Nature, 2021.
date_created: 2019-11-10T11:23:58Z
date_published: 2021-08-23T00:00:00Z
date_updated: 2023-08-04T10:49:44Z
day: '23'
department:
- _id: GradSch
- _id: SiHi
doi: 10.1038/s41593-021-00906-5
external_id:
isi:
- '000687516300001'
pmid:
- '34426698 '
intvolume: ' 24'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41593-021-00906-5
month: '08'
oa: 1
oa_version: Published Version
page: '32'
pmid: 1
publication_identifier:
eissn:
- 1546-1726
issn:
- 1097-6256
publication_status: published
publisher: Springer Nature
status: public
title: Identification of neural oscillations and epileptiform changes in human brain
organoids
type: technical_report
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 24
year: '2021'
...
---
_id: '7463'
abstract:
- lang: eng
text: Resting-state brain activity is characterized by the presence of neuronal
avalanches showing absence of characteristic size. Such evidence has been interpreted
in the context of criticality and associated with the normal functioning of the
brain. A distinctive attribute of systems at criticality is the presence of long-range
correlations. Thus, to verify the hypothesis that the brain operates close to
a critical point and consequently assess deviations from criticality for diagnostic
purposes, it is of primary importance to robustly and reliably characterize correlations
in resting-state brain activity. Recent works focused on the analysis of narrow-band
electroencephalography (EEG) and magnetoencephalography (MEG) signal amplitude
envelope, showing evidence of long-range temporal correlations (LRTC) in neural
oscillations. However, brain activity is a broadband phenomenon, and a significant
piece of information useful to precisely discriminate between normal (critical)
and pathological behavior (non-critical), may be encoded in the broadband spatio-temporal
cortical dynamics. Here we propose to characterize the temporal correlations in
the broadband brain activity through the lens of neuronal avalanches. To this
end, we consider resting-state EEG and long-term MEG recordings, extract the corresponding
neuronal avalanche sequences, and study their temporal correlations. We demonstrate
that the broadband resting-state brain activity consistently exhibits long-range
power-law correlations in both EEG and MEG recordings, with similar values of
the scaling exponents. Importantly, although we observe that the avalanche size
distribution depends on scale parameters, scaling exponents characterizing long-range
correlations are quite robust. In particular, they are independent of the temporal
binning (scale of analysis), indicating that our analysis captures intrinsic characteristics
of the underlying dynamics. Because neuronal avalanches constitute a fundamental
feature of neural systems with universal characteristics, the proposed approach
may serve as a general, systems- and experiment-independent procedure to infer
the existence of underlying long-range correlations in extended neural systems,
and identify pathological behaviors in the complex spatio-temporal interplay of
cortical rhythms.
acknowledgement: LdA would like to acknowledge the financial support from MIUR-PRIN2017
WZFTZP and VALERE:VAnviteLli pEr la RicErca 2019. FL acknowledges support from the
European Union’s Horizon 2020 research and innovation programme under the Marie
Sklodowska-Curie Grant Agreement No. 754411. HJH would like to thank the Agencies
CAPES and FUNCAP for financial support.
article_processing_charge: No
article_type: original
author:
- first_name: Fabrizio
full_name: Lombardi, Fabrizio
id: A057D288-3E88-11E9-986D-0CF4E5697425
last_name: Lombardi
orcid: 0000-0003-2623-5249
- first_name: Oren
full_name: Shriki, Oren
last_name: Shriki
- first_name: Hans J
full_name: Herrmann, Hans J
last_name: Herrmann
- first_name: Lucilla
full_name: de Arcangelis, Lucilla
last_name: de Arcangelis
citation:
ama: Lombardi F, Shriki O, Herrmann HJ, de Arcangelis L. Long-range temporal correlations
in the broadband resting state activity of the human brain revealed by neuronal
avalanches. Neurocomputing. 2021;461:657-666. doi:10.1016/j.neucom.2020.05.126
apa: Lombardi, F., Shriki, O., Herrmann, H. J., & de Arcangelis, L. (2021).
Long-range temporal correlations in the broadband resting state activity of the
human brain revealed by neuronal avalanches. Neurocomputing. Elsevier.
https://doi.org/10.1016/j.neucom.2020.05.126
chicago: Lombardi, Fabrizio, Oren Shriki, Hans J Herrmann, and Lucilla de Arcangelis.
“Long-Range Temporal Correlations in the Broadband Resting State Activity of the
Human Brain Revealed by Neuronal Avalanches.” Neurocomputing. Elsevier,
2021. https://doi.org/10.1016/j.neucom.2020.05.126.
ieee: F. Lombardi, O. Shriki, H. J. Herrmann, and L. de Arcangelis, “Long-range
temporal correlations in the broadband resting state activity of the human brain
revealed by neuronal avalanches,” Neurocomputing, vol. 461. Elsevier, pp.
657–666, 2021.
ista: Lombardi F, Shriki O, Herrmann HJ, de Arcangelis L. 2021. Long-range temporal
correlations in the broadband resting state activity of the human brain revealed
by neuronal avalanches. Neurocomputing. 461, 657–666.
mla: Lombardi, Fabrizio, et al. “Long-Range Temporal Correlations in the Broadband
Resting State Activity of the Human Brain Revealed by Neuronal Avalanches.” Neurocomputing,
vol. 461, Elsevier, 2021, pp. 657–66, doi:10.1016/j.neucom.2020.05.126.
short: F. Lombardi, O. Shriki, H.J. Herrmann, L. de Arcangelis, Neurocomputing 461
(2021) 657–666.
date_created: 2020-02-06T16:09:14Z
date_published: 2021-05-13T00:00:00Z
date_updated: 2023-08-04T10:46:29Z
day: '13'
department:
- _id: GaTk
doi: 10.1016/j.neucom.2020.05.126
ec_funded: 1
external_id:
isi:
- '000704086300015'
intvolume: ' 461'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2020.02.03.930966
month: '05'
oa: 1
oa_version: Preprint
page: 657-666
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Neurocomputing
publication_identifier:
eissn:
- 1872-8286
issn:
- 0925-2312
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Long-range temporal correlations in the broadband resting state activity of
the human brain revealed by neuronal avalanches
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 461
year: '2021'
...
---
_id: '7551'
abstract:
- lang: eng
text: Novelty facilitates formation of memories. The detection of novelty and storage
of contextual memories are both mediated by the hippocampus, yet the mechanisms
that link these two functions remain to be defined. Dentate granule cells (GCs)
of the dorsal hippocampus fire upon novelty exposure forming engrams of contextual
memory. However, their key excitatory inputs from the entorhinal cortex are not
responsive to novelty and are insufficient to make dorsal GCs fire reliably. Here
we uncover a powerful glutamatergic pathway to dorsal GCs from ventral hippocampal
mossy cells (MCs) that relays novelty, and is necessary and sufficient for driving
dorsal GCs activation. Furthermore, manipulation of ventral MCs activity bidirectionally
regulates novelty-induced contextual memory acquisition. Our results show that
ventral MCs activity controls memory formation through an intra-hippocampal interaction
mechanism gated by novelty.
acknowledgement: We thank Peter Jonas and Peter Somogyi for critically reading the
manuscript, Satoshi Kida for helpful discussion, Taijia Makinen for providing the
Prox1-creERT2 mouse line, and Hiromu Yawo for the VAMP2-Venus construct. We also
thank Vivek Jayaraman, Ph.D.; Rex A. Kerr, Ph.D.; Douglas S. Kim, Ph.D.; Loren L.
Looger, Ph.D.; and Karel Svoboda, Ph.D. from the GENIE Project, Janelia Farm Research
Campus, Howard Hughes Medical Institute for the viral constructs used for GCaMP6s
expression. We also thank Jacqueline Montanaro, Vanessa Zheden, David Kleindienst,
and Laura Burnett for technical assistance, as well as Robert Beattie for imaging
assistance. This work was supported by a European Research Council Advanced Grant
694539 to R.S.
article_processing_charge: No
article_type: original
author:
- first_name: Felipe A
full_name: Fredes Tolorza, Felipe A
id: 384825DA-F248-11E8-B48F-1D18A9856A87
last_name: Fredes Tolorza
- first_name: Maria A
full_name: Silva Sifuentes, Maria A
id: 371B3D6E-F248-11E8-B48F-1D18A9856A87
last_name: Silva Sifuentes
- first_name: Peter
full_name: Koppensteiner, Peter
id: 3B8B25A8-F248-11E8-B48F-1D18A9856A87
last_name: Koppensteiner
- first_name: Kenta
full_name: Kobayashi, Kenta
last_name: Kobayashi
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Ryuichi
full_name: Shigemoto, Ryuichi
id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
last_name: Shigemoto
orcid: 0000-0001-8761-9444
citation:
ama: Fredes Tolorza FA, Silva Sifuentes MA, Koppensteiner P, Kobayashi K, Jösch
MA, Shigemoto R. Ventro-dorsal hippocampal pathway gates novelty-induced contextual
memory formation. Current Biology. 2021;31(1):P25-38.E5. doi:10.1016/j.cub.2020.09.074
apa: Fredes Tolorza, F. A., Silva Sifuentes, M. A., Koppensteiner, P., Kobayashi,
K., Jösch, M. A., & Shigemoto, R. (2021). Ventro-dorsal hippocampal pathway
gates novelty-induced contextual memory formation. Current Biology. Elsevier.
https://doi.org/10.1016/j.cub.2020.09.074
chicago: Fredes Tolorza, Felipe A, Maria A Silva Sifuentes, Peter Koppensteiner,
Kenta Kobayashi, Maximilian A Jösch, and Ryuichi Shigemoto. “Ventro-Dorsal Hippocampal
Pathway Gates Novelty-Induced Contextual Memory Formation.” Current Biology.
Elsevier, 2021. https://doi.org/10.1016/j.cub.2020.09.074.
ieee: F. A. Fredes Tolorza, M. A. Silva Sifuentes, P. Koppensteiner, K. Kobayashi,
M. A. Jösch, and R. Shigemoto, “Ventro-dorsal hippocampal pathway gates novelty-induced
contextual memory formation,” Current Biology, vol. 31, no. 1. Elsevier,
p. P25–38.E5, 2021.
ista: Fredes Tolorza FA, Silva Sifuentes MA, Koppensteiner P, Kobayashi K, Jösch
MA, Shigemoto R. 2021. Ventro-dorsal hippocampal pathway gates novelty-induced
contextual memory formation. Current Biology. 31(1), P25–38.E5.
mla: Fredes Tolorza, Felipe A., et al. “Ventro-Dorsal Hippocampal Pathway Gates
Novelty-Induced Contextual Memory Formation.” Current Biology, vol. 31,
no. 1, Elsevier, 2021, p. P25–38.E5, doi:10.1016/j.cub.2020.09.074.
short: F.A. Fredes Tolorza, M.A. Silva Sifuentes, P. Koppensteiner, K. Kobayashi,
M.A. Jösch, R. Shigemoto, Current Biology 31 (2021) P25–38.E5.
date_created: 2020-02-28T10:56:18Z
date_published: 2021-01-11T00:00:00Z
date_updated: 2023-08-04T10:47:11Z
day: '11'
ddc:
- '570'
department:
- _id: MaJö
- _id: RySh
doi: 10.1016/j.cub.2020.09.074
ec_funded: 1
external_id:
isi:
- '000614361000020'
file:
- access_level: open_access
checksum: b7b9c8bc84a08befce365c675229a7d1
content_type: application/pdf
creator: dernst
date_created: 2020-10-19T13:31:28Z
date_updated: 2020-10-19T13:31:28Z
file_id: '8678'
file_name: 2021_CurrentBiology_Fredes.pdf
file_size: 4915964
relation: main_file
success: 1
file_date_updated: 2020-10-19T13:31:28Z
has_accepted_license: '1'
intvolume: ' 31'
isi: 1
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: P25-38.E5
project:
- _id: 25CA28EA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '694539'
name: 'In situ analysis of single channel subunit composition in neurons: physiological
implication in synaptic plasticity and behaviour'
publication: Current Biology
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/remembering-novelty/
status: public
title: Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation
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: 31
year: '2021'
...
---
_id: '7553'
abstract:
- lang: eng
text: Normative theories and statistical inference provide complementary approaches
for the study of biological systems. A normative theory postulates that organisms
have adapted to efficiently solve essential tasks, and proceeds to mathematically
work out testable consequences of such optimality; parameters that maximize the
hypothesized organismal function can be derived ab initio, without reference to
experimental data. In contrast, statistical inference focuses on efficient utilization
of data to learn model parameters, without reference to any a priori notion of
biological function, utility, or fitness. Traditionally, these two approaches
were developed independently and applied separately. Here we unify them in a coherent
Bayesian framework that embeds a normative theory into a family of maximum-entropy
“optimization priors.” This family defines a smooth interpolation between a data-rich
inference regime (characteristic of “bottom-up” statistical models), and a data-limited
ab inito prediction regime (characteristic of “top-down” normative theory). We
demonstrate the applicability of our framework using data from the visual cortex,
and argue that the flexibility it affords is essential to address a number of
fundamental challenges relating to inference and prediction in complex, high-dimensional
biological problems.
acknowledgement: The authors thank Dario Ringach for providing the V1 receptive fields
and Olivier Marre for providing the retinal receptive fields. W.M. was funded by
the European Union’s Horizon 2020 research and innovation programme under the Marie
Skłodowska-Curie grant agreement no. 754411. M.H. was funded in part by Human Frontiers
Science grant no. HFSP RGP0032/2018.
article_processing_charge: No
author:
- first_name: Wiktor F
full_name: Mlynarski, Wiktor F
id: 358A453A-F248-11E8-B48F-1D18A9856A87
last_name: Mlynarski
- first_name: Michal
full_name: Hledik, Michal
id: 4171253A-F248-11E8-B48F-1D18A9856A87
last_name: Hledik
- first_name: Thomas R
full_name: Sokolowski, Thomas R
id: 3E999752-F248-11E8-B48F-1D18A9856A87
last_name: Sokolowski
orcid: 0000-0002-1287-3779
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
citation:
ama: Mlynarski WF, Hledik M, Sokolowski TR, Tkačik G. Statistical analysis and optimality
of neural systems. Neuron. 2021;109(7):1227-1241.e5. doi:10.1016/j.neuron.2021.01.020
apa: Mlynarski, W. F., Hledik, M., Sokolowski, T. R., & Tkačik, G. (2021). Statistical
analysis and optimality of neural systems. Neuron. Cell Press. https://doi.org/10.1016/j.neuron.2021.01.020
chicago: Mlynarski, Wiktor F, Michal Hledik, Thomas R Sokolowski, and Gašper Tkačik.
“Statistical Analysis and Optimality of Neural Systems.” Neuron. Cell Press,
2021. https://doi.org/10.1016/j.neuron.2021.01.020.
ieee: W. F. Mlynarski, M. Hledik, T. R. Sokolowski, and G. Tkačik, “Statistical
analysis and optimality of neural systems,” Neuron, vol. 109, no. 7. Cell
Press, p. 1227–1241.e5, 2021.
ista: Mlynarski WF, Hledik M, Sokolowski TR, Tkačik G. 2021. Statistical analysis
and optimality of neural systems. Neuron. 109(7), 1227–1241.e5.
mla: Mlynarski, Wiktor F., et al. “Statistical Analysis and Optimality of Neural
Systems.” Neuron, vol. 109, no. 7, Cell Press, 2021, p. 1227–1241.e5, doi:10.1016/j.neuron.2021.01.020.
short: W.F. Mlynarski, M. Hledik, T.R. Sokolowski, G. Tkačik, Neuron 109 (2021)
1227–1241.e5.
date_created: 2020-02-28T11:00:12Z
date_published: 2021-04-07T00:00:00Z
date_updated: 2025-06-30T13:21:05Z
day: '07'
department:
- _id: GaTk
doi: 10.1016/j.neuron.2021.01.020
ec_funded: 1
external_id:
isi:
- '000637809600006'
intvolume: ' 109'
isi: 1
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/848374
month: '04'
oa: 1
oa_version: Preprint
page: 1227-1241.e5
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Neuron
publication_status: published
publisher: Cell Press
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/can-evolution-be-predicted/
record:
- id: '15020'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Statistical analysis and optimality of neural systems
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 109
year: '2021'
...
---
_id: '7685'
abstract:
- lang: eng
text: We consider a gas of interacting bosons trapped in a box of side length one
in the Gross–Pitaevskii limit. We review the proof of the validity of Bogoliubov’s
prediction for the ground state energy and the low-energy excitation spectrum.
This note is based on joint work with C. Brennecke, S. Cenatiempo and B. Schlein.
article_number: '2060006'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Chiara
full_name: Boccato, Chiara
id: 342E7E22-F248-11E8-B48F-1D18A9856A87
last_name: Boccato
citation:
ama: Boccato C. The excitation spectrum of the Bose gas in the Gross-Pitaevskii
regime. Reviews in Mathematical Physics. 2021;33(1). doi:10.1142/S0129055X20600065
apa: Boccato, C. (2021). The excitation spectrum of the Bose gas in the Gross-Pitaevskii
regime. Reviews in Mathematical Physics. World Scientific. https://doi.org/10.1142/S0129055X20600065
chicago: Boccato, Chiara. “The Excitation Spectrum of the Bose Gas in the Gross-Pitaevskii
Regime.” Reviews in Mathematical Physics. World Scientific, 2021. https://doi.org/10.1142/S0129055X20600065.
ieee: C. Boccato, “The excitation spectrum of the Bose gas in the Gross-Pitaevskii
regime,” Reviews in Mathematical Physics, vol. 33, no. 1. World Scientific,
2021.
ista: Boccato C. 2021. The excitation spectrum of the Bose gas in the Gross-Pitaevskii
regime. Reviews in Mathematical Physics. 33(1), 2060006.
mla: Boccato, Chiara. “The Excitation Spectrum of the Bose Gas in the Gross-Pitaevskii
Regime.” Reviews in Mathematical Physics, vol. 33, no. 1, 2060006, World
Scientific, 2021, doi:10.1142/S0129055X20600065.
short: C. Boccato, Reviews in Mathematical Physics 33 (2021).
date_created: 2020-04-26T22:00:45Z
date_published: 2021-01-01T00:00:00Z
date_updated: 2023-08-04T10:50:13Z
day: '01'
department:
- _id: RoSe
doi: 10.1142/S0129055X20600065
ec_funded: 1
external_id:
arxiv:
- '2001.00497'
isi:
- '000613313200007'
intvolume: ' 33'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2001.00497
month: '01'
oa: 1
oa_version: Preprint
project:
- _id: 25C6DC12-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '694227'
name: Analysis of quantum many-body systems
publication: Reviews in Mathematical Physics
publication_identifier:
issn:
- 0129-055X
publication_status: published
publisher: World Scientific
quality_controlled: '1'
scopus_import: '1'
status: public
title: The excitation spectrum of the Bose gas in the Gross-Pitaevskii regime
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 33
year: '2021'
...
---
_id: '14800'
abstract:
- lang: eng
text: 'Research on two-dimensional (2D) materials has been explosively increasing
in last seventeen years in varying subjects including condensed matter physics,
electronic engineering, materials science, and chemistry since the mechanical
exfoliation of graphene in 2004. Starting from graphene, 2D materials now have
become a big family with numerous members and diverse categories. The unique structural
features and physicochemical properties of 2D materials make them one class of
the most appealing candidates for a wide range of potential applications. In particular,
we have seen some major breakthroughs made in the field of 2D materials in last
five years not only in developing novel synthetic methods and exploring new structures/properties
but also in identifying innovative applications and pushing forward commercialisation.
In this review, we provide a critical summary on the recent progress made in the
field of 2D materials with a particular focus on last five years. After a brief
background introduction, we first discuss the major synthetic methods for 2D materials,
including the mechanical exfoliation, liquid exfoliation, vapor phase deposition,
and wet-chemical synthesis as well as phase engineering of 2D materials belonging
to the field of phase engineering of nanomaterials (PEN). We then introduce the
superconducting/optical/magnetic properties and chirality of 2D materials along
with newly emerging magic angle 2D superlattices. Following that, the promising
applications of 2D materials in electronics, optoelectronics, catalysis, energy
storage, solar cells, biomedicine, sensors, environments, etc. are described sequentially.
Thereafter, we present the theoretic calculations and simulations of 2D materials.
Finally, after concluding the current progress, we provide some personal discussions
on the existing challenges and future outlooks in this rapidly developing field. '
article_number: '2108017'
article_processing_charge: No
article_type: review
author:
- first_name: Cheng
full_name: Chang, Cheng
id: 9E331C2E-9F27-11E9-AE48-5033E6697425
last_name: Chang
orcid: 0000-0002-9515-4277
- first_name: Wei
full_name: Chen, Wei
last_name: Chen
- first_name: Ye
full_name: Chen, Ye
last_name: Chen
- first_name: Yonghua
full_name: Chen, Yonghua
last_name: Chen
- first_name: Yu
full_name: Chen, Yu
last_name: Chen
- first_name: Feng
full_name: Ding, Feng
last_name: Ding
- first_name: Chunhai
full_name: Fan, Chunhai
last_name: Fan
- first_name: Hong Jin
full_name: Fan, Hong Jin
last_name: Fan
- first_name: Zhanxi
full_name: Fan, Zhanxi
last_name: Fan
- first_name: Cheng
full_name: Gong, Cheng
last_name: Gong
- first_name: Yongji
full_name: Gong, Yongji
last_name: Gong
- first_name: Qiyuan
full_name: He, Qiyuan
last_name: He
- first_name: Xun
full_name: Hong, Xun
last_name: Hong
- first_name: Sheng
full_name: Hu, Sheng
last_name: Hu
- first_name: Weida
full_name: Hu, Weida
last_name: Hu
- first_name: Wei
full_name: Huang, Wei
last_name: Huang
- first_name: Yuan
full_name: Huang, Yuan
last_name: Huang
- first_name: Wei
full_name: Ji, Wei
last_name: Ji
- first_name: Dehui
full_name: Li, Dehui
last_name: Li
- first_name: Lain Jong
full_name: Li, Lain Jong
last_name: Li
- first_name: Qiang
full_name: Li, Qiang
last_name: Li
- first_name: Li
full_name: Lin, Li
last_name: Lin
- first_name: Chongyi
full_name: Ling, Chongyi
last_name: Ling
- first_name: Minghua
full_name: Liu, Minghua
last_name: Liu
- first_name: 'Nan'
full_name: Liu, Nan
last_name: Liu
- first_name: Zhuang
full_name: Liu, Zhuang
last_name: Liu
- first_name: Kian Ping
full_name: Loh, Kian Ping
last_name: Loh
- first_name: Jianmin
full_name: Ma, Jianmin
last_name: Ma
- first_name: Feng
full_name: Miao, Feng
last_name: Miao
- first_name: Hailin
full_name: Peng, Hailin
last_name: Peng
- first_name: Mingfei
full_name: Shao, Mingfei
last_name: Shao
- first_name: Li
full_name: Song, Li
last_name: Song
- first_name: Shao
full_name: Su, Shao
last_name: Su
- first_name: Shuo
full_name: Sun, Shuo
last_name: Sun
- first_name: Chaoliang
full_name: Tan, Chaoliang
last_name: Tan
- first_name: Zhiyong
full_name: Tang, Zhiyong
last_name: Tang
- first_name: Dingsheng
full_name: Wang, Dingsheng
last_name: Wang
- first_name: Huan
full_name: Wang, Huan
last_name: Wang
- first_name: Jinlan
full_name: Wang, Jinlan
last_name: Wang
- first_name: Xin
full_name: Wang, Xin
last_name: Wang
- first_name: Xinran
full_name: Wang, Xinran
last_name: Wang
- first_name: Andrew T.S.
full_name: Wee, Andrew T.S.
last_name: Wee
- first_name: Zhongming
full_name: Wei, Zhongming
last_name: Wei
- first_name: Yuen
full_name: Wu, Yuen
last_name: Wu
- first_name: Zhong Shuai
full_name: Wu, Zhong Shuai
last_name: Wu
- first_name: Jie
full_name: Xiong, Jie
last_name: Xiong
- first_name: Qihua
full_name: Xiong, Qihua
last_name: Xiong
- first_name: Weigao
full_name: Xu, Weigao
last_name: Xu
- first_name: Peng
full_name: Yin, Peng
last_name: Yin
- first_name: Haibo
full_name: Zeng, Haibo
last_name: Zeng
- first_name: Zhiyuan
full_name: Zeng, Zhiyuan
last_name: Zeng
- first_name: Tianyou
full_name: Zhai, Tianyou
last_name: Zhai
- first_name: Han
full_name: Zhang, Han
last_name: Zhang
- first_name: Hui
full_name: Zhang, Hui
last_name: Zhang
- first_name: Qichun
full_name: Zhang, Qichun
last_name: Zhang
- first_name: Tierui
full_name: Zhang, Tierui
last_name: Zhang
- first_name: Xiang
full_name: Zhang, Xiang
last_name: Zhang
- first_name: Li Dong
full_name: Zhao, Li Dong
last_name: Zhao
- first_name: Meiting
full_name: Zhao, Meiting
last_name: Zhao
- first_name: Weijie
full_name: Zhao, Weijie
last_name: Zhao
- first_name: Yunxuan
full_name: Zhao, Yunxuan
last_name: Zhao
- first_name: Kai Ge
full_name: Zhou, Kai Ge
last_name: Zhou
- first_name: Xing
full_name: Zhou, Xing
last_name: Zhou
- first_name: Yu
full_name: Zhou, Yu
last_name: Zhou
- first_name: Hongwei
full_name: Zhu, Hongwei
last_name: Zhu
- first_name: Hua
full_name: Zhang, Hua
last_name: Zhang
- first_name: Zhongfan
full_name: Liu, Zhongfan
last_name: Liu
citation:
ama: Chang C, Chen W, Chen Y, et al. Recent progress on two-dimensional materials.
Acta Physico-Chimica Sinica. 2021;37(12). doi:10.3866/PKU.WHXB202108017
apa: Chang, C., Chen, W., Chen, Y., Chen, Y., Chen, Y., Ding, F., … Liu, Z. (2021).
Recent progress on two-dimensional materials. Acta Physico-Chimica Sinica.
Peking University. https://doi.org/10.3866/PKU.WHXB202108017
chicago: Chang, Cheng, Wei Chen, Ye Chen, Yonghua Chen, Yu Chen, Feng Ding, Chunhai
Fan, et al. “Recent Progress on Two-Dimensional Materials.” Acta Physico-Chimica
Sinica. Peking University, 2021. https://doi.org/10.3866/PKU.WHXB202108017.
ieee: C. Chang et al., “Recent progress on two-dimensional materials,” Acta
Physico-Chimica Sinica, vol. 37, no. 12. Peking University, 2021.
ista: Chang C, Chen W, Chen Y, Chen Y, Chen Y, Ding F, Fan C, Fan HJ, Fan Z, Gong
C, Gong Y, He Q, Hong X, Hu S, Hu W, Huang W, Huang Y, Ji W, Li D, Li LJ, Li Q,
Lin L, Ling C, Liu M, Liu N, Liu Z, Loh KP, Ma J, Miao F, Peng H, Shao M, Song
L, Su S, Sun S, Tan C, Tang Z, Wang D, Wang H, Wang J, Wang X, Wang X, Wee ATS,
Wei Z, Wu Y, Wu ZS, Xiong J, Xiong Q, Xu W, Yin P, Zeng H, Zeng Z, Zhai T, Zhang
H, Zhang H, Zhang Q, Zhang T, Zhang X, Zhao LD, Zhao M, Zhao W, Zhao Y, Zhou KG,
Zhou X, Zhou Y, Zhu H, Zhang H, Liu Z. 2021. Recent progress on two-dimensional
materials. Acta Physico-Chimica Sinica. 37(12), 2108017.
mla: Chang, Cheng, et al. “Recent Progress on Two-Dimensional Materials.” Acta
Physico-Chimica Sinica, vol. 37, no. 12, 2108017, Peking University, 2021,
doi:10.3866/PKU.WHXB202108017.
short: C. Chang, W. Chen, Y. Chen, Y. Chen, Y. Chen, F. Ding, C. Fan, H.J. Fan,
Z. Fan, C. Gong, Y. Gong, Q. He, X. Hong, S. Hu, W. Hu, W. Huang, Y. Huang, W.
Ji, D. Li, L.J. Li, Q. Li, L. Lin, C. Ling, M. Liu, N. Liu, Z. Liu, K.P. Loh,
J. Ma, F. Miao, H. Peng, M. Shao, L. Song, S. Su, S. Sun, C. Tan, Z. Tang, D.
Wang, H. Wang, J. Wang, X. Wang, X. Wang, A.T.S. Wee, Z. Wei, Y. Wu, Z.S. Wu,
J. Xiong, Q. Xiong, W. Xu, P. Yin, H. Zeng, Z. Zeng, T. Zhai, H. Zhang, H. Zhang,
Q. Zhang, T. Zhang, X. Zhang, L.D. Zhao, M. Zhao, W. Zhao, Y. Zhao, K.G. Zhou,
X. Zhou, Y. Zhou, H. Zhu, H. Zhang, Z. Liu, Acta Physico-Chimica Sinica 37 (2021).
date_created: 2024-01-14T23:00:58Z
date_published: 2021-10-13T00:00:00Z
date_updated: 2024-01-17T11:29:33Z
day: '13'
department:
- _id: MaIb
doi: 10.3866/PKU.WHXB202108017
intvolume: ' 37'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.3866/PKU.WHXB202108017
month: '10'
oa: 1
oa_version: Submitted Version
publication: Acta Physico-Chimica Sinica
publication_identifier:
issn:
- 1001-4861
publication_status: published
publisher: Peking University
quality_controlled: '1'
scopus_import: '1'
status: public
title: Recent progress on two-dimensional materials
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2021'
...
---
_id: '14889'
abstract:
- lang: eng
text: We consider the Fröhlich Hamiltonian with large coupling constant α. For initial
data of Pekar product form with coherent phonon field and with the electron minimizing
the corresponding energy, we provide a norm approximation of the evolution, valid
up to times of order α2. The approximation is given in terms of a Pekar product
state, evolved through the Landau-Pekar equations, corrected by a Bogoliubov dynamics
taking quantum fluctuations into account. This allows us to show that the Landau-Pekar
equations approximately describe the evolution of the electron- and one-phonon
reduced density matrices under the Fröhlich dynamics up to times of order α2.
acknowledgement: "Financial support by the European Union’s Horizon 2020 research
and innovation programme\r\nunder the Marie Skłodowska-Curie grant agreement No.
754411 (S.R.) and the European\r\nResearch Council under grant agreement No. 694227
(N.L. and R.S.), as well as by the SNSF\r\nEccellenza project PCEFP2 181153 (N.L.),
the NCCR SwissMAP (N.L. and B.S.) and by the\r\nDeutsche Forschungsgemeinschaft
(DFG) through the Research Training Group 1838: Spectral\r\nTheory and Dynamics
of Quantum Systems (D.M.) is gratefully acknowledged. B.S. gratefully\r\nacknowledges
financial support from the Swiss National Science Foundation through the Grant\r\n“Dynamical
and energetic properties of Bose-Einstein condensates” and from the European\r\nResearch
Council through the ERC-AdG CLaQS (grant agreement No 834782). D.M. thanks\r\nMarcel
Griesemer for helpful discussions."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Nikolai K
full_name: Leopold, Nikolai K
id: 4BC40BEC-F248-11E8-B48F-1D18A9856A87
last_name: Leopold
orcid: 0000-0002-0495-6822
- first_name: David Johannes
full_name: Mitrouskas, David Johannes
id: cbddacee-2b11-11eb-a02e-a2e14d04e52d
last_name: Mitrouskas
- first_name: Simone Anna Elvira
full_name: Rademacher, Simone Anna Elvira
id: 856966FE-A408-11E9-977E-802DE6697425
last_name: Rademacher
orcid: 0000-0001-5059-4466
- first_name: Benjamin
full_name: Schlein, Benjamin
last_name: Schlein
- first_name: Robert
full_name: Seiringer, Robert
id: 4AFD0470-F248-11E8-B48F-1D18A9856A87
last_name: Seiringer
orcid: 0000-0002-6781-0521
citation:
ama: Leopold NK, Mitrouskas DJ, Rademacher SAE, Schlein B, Seiringer R. Landau–Pekar
equations and quantum fluctuations for the dynamics of a strongly coupled polaron.
Pure and Applied Analysis. 2021;3(4):653-676. doi:10.2140/paa.2021.3.653
apa: Leopold, N. K., Mitrouskas, D. J., Rademacher, S. A. E., Schlein, B., &
Seiringer, R. (2021). Landau–Pekar equations and quantum fluctuations for the
dynamics of a strongly coupled polaron. Pure and Applied Analysis. Mathematical
Sciences Publishers. https://doi.org/10.2140/paa.2021.3.653
chicago: Leopold, Nikolai K, David Johannes Mitrouskas, Simone Anna Elvira Rademacher,
Benjamin Schlein, and Robert Seiringer. “Landau–Pekar Equations and Quantum Fluctuations
for the Dynamics of a Strongly Coupled Polaron.” Pure and Applied Analysis.
Mathematical Sciences Publishers, 2021. https://doi.org/10.2140/paa.2021.3.653.
ieee: N. K. Leopold, D. J. Mitrouskas, S. A. E. Rademacher, B. Schlein, and R. Seiringer,
“Landau–Pekar equations and quantum fluctuations for the dynamics of a strongly
coupled polaron,” Pure and Applied Analysis, vol. 3, no. 4. Mathematical
Sciences Publishers, pp. 653–676, 2021.
ista: Leopold NK, Mitrouskas DJ, Rademacher SAE, Schlein B, Seiringer R. 2021. Landau–Pekar
equations and quantum fluctuations for the dynamics of a strongly coupled polaron.
Pure and Applied Analysis. 3(4), 653–676.
mla: Leopold, Nikolai K., et al. “Landau–Pekar Equations and Quantum Fluctuations
for the Dynamics of a Strongly Coupled Polaron.” Pure and Applied Analysis,
vol. 3, no. 4, Mathematical Sciences Publishers, 2021, pp. 653–76, doi:10.2140/paa.2021.3.653.
short: N.K. Leopold, D.J. Mitrouskas, S.A.E. Rademacher, B. Schlein, R. Seiringer,
Pure and Applied Analysis 3 (2021) 653–676.
date_created: 2024-01-28T23:01:43Z
date_published: 2021-10-01T00:00:00Z
date_updated: 2024-02-05T10:02:45Z
day: '01'
department:
- _id: RoSe
doi: 10.2140/paa.2021.3.653
ec_funded: 1
external_id:
arxiv:
- '2005.02098'
intvolume: ' 3'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2005.02098
month: '10'
oa: 1
oa_version: Preprint
page: 653-676
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
- _id: 25C6DC12-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '694227'
name: Analysis of quantum many-body systems
publication: Pure and Applied Analysis
publication_identifier:
eissn:
- 2578-5885
issn:
- 2578-5893
publication_status: published
publisher: Mathematical Sciences Publishers
quality_controlled: '1'
scopus_import: '1'
status: public
title: Landau–Pekar equations and quantum fluctuations for the dynamics of a strongly
coupled polaron
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 3
year: '2021'
...
---
_id: '14890'
abstract:
- lang: eng
text: We consider a system of N interacting bosons in the mean-field scaling regime
and construct corrections to the Bogoliubov dynamics that approximate the true
N-body dynamics in norm to arbitrary precision. The N-independent corrections
are given in terms of the solutions of the Bogoliubov and Hartree equations and
satisfy a generalized form of Wick's theorem. We determine the n-point correlation
functions of the excitations around the condensate, as well as the reduced densities
of the N-body system, to arbitrary accuracy, given only the knowledge of the two-point
functions of a quasi-free state and the solution of the Hartree equation. In this
way, the complex problem of computing all n-point correlation functions for an
interacting N-body system is essentially reduced to the problem of solving the
Hartree equation and the PDEs for the Bogoliubov two-point functions.
acknowledgement: "We are grateful for the hospitality of Central China Normal University
(CCNU),\r\nwhere parts of this work were done, and thank Phan Th`anh Nam, Simone\r\nRademacher,
Robert Seiringer and Stefan Teufel for helpful discussions. L.B. gratefully acknowledges
the support by the German Research Foundation (DFG) within the Research\r\nTraining
Group 1838 “Spectral Theory and Dynamics of Quantum Systems”, and the funding\r\nfrom
the European Union’s Horizon 2020 research and innovation programme under the Marie\r\nSk
lodowska-Curie Grant Agreement No. 754411."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Lea
full_name: Bossmann, Lea
id: A2E3BCBE-5FCC-11E9-AA4B-76F3E5697425
last_name: Bossmann
orcid: 0000-0002-6854-1343
- first_name: Sören P
full_name: Petrat, Sören P
id: 40AC02DC-F248-11E8-B48F-1D18A9856A87
last_name: Petrat
orcid: 0000-0002-9166-5889
- first_name: Peter
full_name: Pickl, Peter
last_name: Pickl
- first_name: Avy
full_name: Soffer, Avy
last_name: Soffer
citation:
ama: Bossmann L, Petrat SP, Pickl P, Soffer A. Beyond Bogoliubov dynamics. Pure
and Applied Analysis. 2021;3(4):677-726. doi:10.2140/paa.2021.3.677
apa: Bossmann, L., Petrat, S. P., Pickl, P., & Soffer, A. (2021). Beyond Bogoliubov
dynamics. Pure and Applied Analysis. Mathematical Sciences Publishers.
https://doi.org/10.2140/paa.2021.3.677
chicago: Bossmann, Lea, Sören P Petrat, Peter Pickl, and Avy Soffer. “Beyond Bogoliubov
Dynamics.” Pure and Applied Analysis. Mathematical Sciences Publishers,
2021. https://doi.org/10.2140/paa.2021.3.677.
ieee: L. Bossmann, S. P. Petrat, P. Pickl, and A. Soffer, “Beyond Bogoliubov dynamics,”
Pure and Applied Analysis, vol. 3, no. 4. Mathematical Sciences Publishers,
pp. 677–726, 2021.
ista: Bossmann L, Petrat SP, Pickl P, Soffer A. 2021. Beyond Bogoliubov dynamics.
Pure and Applied Analysis. 3(4), 677–726.
mla: Bossmann, Lea, et al. “Beyond Bogoliubov Dynamics.” Pure and Applied Analysis,
vol. 3, no. 4, Mathematical Sciences Publishers, 2021, pp. 677–726, doi:10.2140/paa.2021.3.677.
short: L. Bossmann, S.P. Petrat, P. Pickl, A. Soffer, Pure and Applied Analysis
3 (2021) 677–726.
date_created: 2024-01-28T23:01:43Z
date_published: 2021-10-01T00:00:00Z
date_updated: 2024-02-05T09:26:31Z
day: '01'
department:
- _id: RoSe
doi: 10.2140/paa.2021.3.677
ec_funded: 1
external_id:
arxiv:
- '1912.11004'
intvolume: ' 3'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.1912.11004
month: '10'
oa: 1
oa_version: Preprint
page: 677-726
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Pure and Applied Analysis
publication_identifier:
eissn:
- 2578-5885
issn:
- 2578-5893
publication_status: published
publisher: Mathematical Sciences Publishers
quality_controlled: '1'
scopus_import: '1'
status: public
title: Beyond Bogoliubov dynamics
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 3
year: '2021'
...
---
_id: '14988'
abstract:
- lang: eng
text: Raw data generated from the publication - The TPLATE complex mediates membrane
bending during plant clathrin-mediated endocytosis by Johnson et al., 2021 In
PNAS
article_processing_charge: No
author:
- first_name: Alexander J
full_name: Johnson, Alexander J
id: 46A62C3A-F248-11E8-B48F-1D18A9856A87
last_name: Johnson
orcid: 0000-0002-2739-8843
citation:
ama: Johnson AJ. Raw data from Johnson et al, PNAS, 2021. 2021. doi:10.5281/ZENODO.5747100
apa: Johnson, A. J. (2021). Raw data from Johnson et al, PNAS, 2021. Zenodo. https://doi.org/10.5281/ZENODO.5747100
chicago: Johnson, Alexander J. “Raw Data from Johnson et Al, PNAS, 2021.” Zenodo,
2021. https://doi.org/10.5281/ZENODO.5747100.
ieee: A. J. Johnson, “Raw data from Johnson et al, PNAS, 2021.” Zenodo, 2021.
ista: Johnson AJ. 2021. Raw data from Johnson et al, PNAS, 2021, Zenodo, 10.5281/ZENODO.5747100.
mla: Johnson, Alexander J. Raw Data from Johnson et Al, PNAS, 2021. Zenodo,
2021, doi:10.5281/ZENODO.5747100.
short: A.J. Johnson, (2021).
date_created: 2024-02-14T14:13:48Z
date_published: 2021-12-01T00:00:00Z
date_updated: 2024-02-19T11:06:09Z
day: '01'
ddc:
- '580'
department:
- _id: JiFr
doi: 10.5281/ZENODO.5747100
has_accepted_license: '1'
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.5747100
month: '12'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
record:
- id: '9887'
relation: used_in_publication
status: public
status: public
title: Raw data from Johnson et al, PNAS, 2021
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: '15013'
abstract:
- lang: eng
text: We consider random n×n matrices X with independent and centered entries and
a general variance profile. We show that the spectral radius of X converges with
very high probability to the square root of the spectral radius of the variance
matrix of X when n tends to infinity. We also establish the optimal rate of convergence,
that is a new result even for general i.i.d. matrices beyond the explicitly solvable
Gaussian cases. The main ingredient is the proof of the local inhomogeneous circular
law [arXiv:1612.07776] at the spectral edge.
acknowledgement: Partially supported by ERC Starting Grant RandMat No. 715539 and
the SwissMap grant of Swiss National Science Foundation. Partially supported by
ERC Advanced Grant RanMat No. 338804. Partially supported by the Hausdorff Center
for Mathematics in Bonn.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Johannes
full_name: Alt, Johannes
id: 36D3D8B6-F248-11E8-B48F-1D18A9856A87
last_name: Alt
- first_name: László
full_name: Erdös, László
id: 4DBD5372-F248-11E8-B48F-1D18A9856A87
last_name: Erdös
orcid: 0000-0001-5366-9603
- first_name: Torben H
full_name: Krüger, Torben H
id: 3020C786-F248-11E8-B48F-1D18A9856A87
last_name: Krüger
orcid: 0000-0002-4821-3297
citation:
ama: Alt J, Erdös L, Krüger TH. Spectral radius of random matrices with independent
entries. Probability and Mathematical Physics. 2021;2(2):221-280. doi:10.2140/pmp.2021.2.221
apa: Alt, J., Erdös, L., & Krüger, T. H. (2021). Spectral radius of random matrices
with independent entries. Probability and Mathematical Physics. Mathematical
Sciences Publishers. https://doi.org/10.2140/pmp.2021.2.221
chicago: Alt, Johannes, László Erdös, and Torben H Krüger. “Spectral Radius of Random
Matrices with Independent Entries.” Probability and Mathematical Physics.
Mathematical Sciences Publishers, 2021. https://doi.org/10.2140/pmp.2021.2.221.
ieee: J. Alt, L. Erdös, and T. H. Krüger, “Spectral radius of random matrices with
independent entries,” Probability and Mathematical Physics, vol. 2, no.
2. Mathematical Sciences Publishers, pp. 221–280, 2021.
ista: Alt J, Erdös L, Krüger TH. 2021. Spectral radius of random matrices with independent
entries. Probability and Mathematical Physics. 2(2), 221–280.
mla: Alt, Johannes, et al. “Spectral Radius of Random Matrices with Independent
Entries.” Probability and Mathematical Physics, vol. 2, no. 2, Mathematical
Sciences Publishers, 2021, pp. 221–80, doi:10.2140/pmp.2021.2.221.
short: J. Alt, L. Erdös, T.H. Krüger, Probability and Mathematical Physics 2 (2021)
221–280.
date_created: 2024-02-18T23:01:03Z
date_published: 2021-05-21T00:00:00Z
date_updated: 2024-02-19T08:30:00Z
day: '21'
department:
- _id: LaEr
doi: 10.2140/pmp.2021.2.221
ec_funded: 1
external_id:
arxiv:
- '1907.13631'
intvolume: ' 2'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.1907.13631
month: '05'
oa: 1
oa_version: Preprint
page: 221-280
project:
- _id: 258DCDE6-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '338804'
name: Random matrices, universality and disordered quantum systems
publication: Probability and Mathematical Physics
publication_identifier:
eissn:
- 2690-1005
issn:
- 2690-0998
publication_status: published
publisher: Mathematical Sciences Publishers
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spectral radius of random matrices with independent entries
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2
year: '2021'
...
---
_id: '13057'
abstract:
- lang: eng
text: 'This dataset comprises all data shown in the figures of the submitted article
"Geometric superinductance qubits: Controlling phase delocalization across a single
Josephson junction". Additional raw data are available from the corresponding
author on reasonable request.'
article_processing_charge: No
author:
- first_name: Matilda
full_name: Peruzzo, Matilda
id: 3F920B30-F248-11E8-B48F-1D18A9856A87
last_name: Peruzzo
orcid: 0000-0002-3415-4628
- first_name: Farid
full_name: Hassani, Farid
id: 2AED110C-F248-11E8-B48F-1D18A9856A87
last_name: Hassani
orcid: 0000-0001-6937-5773
- first_name: Grisha
full_name: Szep, Grisha
last_name: Szep
- first_name: Andrea
full_name: Trioni, Andrea
id: 42F71B44-F248-11E8-B48F-1D18A9856A87
last_name: Trioni
- first_name: Elena
full_name: Redchenko, Elena
id: 2C21D6E8-F248-11E8-B48F-1D18A9856A87
last_name: Redchenko
- first_name: Martin
full_name: Zemlicka, Martin
id: 2DCF8DE6-F248-11E8-B48F-1D18A9856A87
last_name: Zemlicka
- first_name: Johannes M
full_name: Fink, Johannes M
id: 4B591CBA-F248-11E8-B48F-1D18A9856A87
last_name: Fink
orcid: 0000-0001-8112-028X
citation:
ama: 'Peruzzo M, Hassani F, Szep G, et al. Geometric superinductance qubits: Controlling
phase delocalization across a single Josephson junction. 2021. doi:10.5281/ZENODO.5592103'
apa: 'Peruzzo, M., Hassani, F., Szep, G., Trioni, A., Redchenko, E., Zemlicka, M.,
& Fink, J. M. (2021). Geometric superinductance qubits: Controlling phase
delocalization across a single Josephson junction. Zenodo. https://doi.org/10.5281/ZENODO.5592103'
chicago: 'Peruzzo, Matilda, Farid Hassani, Grisha Szep, Andrea Trioni, Elena Redchenko,
Martin Zemlicka, and Johannes M Fink. “Geometric Superinductance Qubits: Controlling
Phase Delocalization across a Single Josephson Junction.” Zenodo, 2021. https://doi.org/10.5281/ZENODO.5592103.'
ieee: 'M. Peruzzo et al., “Geometric superinductance qubits: Controlling
phase delocalization across a single Josephson junction.” Zenodo, 2021.'
ista: 'Peruzzo M, Hassani F, Szep G, Trioni A, Redchenko E, Zemlicka M, Fink JM.
2021. Geometric superinductance qubits: Controlling phase delocalization across
a single Josephson junction, Zenodo, 10.5281/ZENODO.5592103.'
mla: 'Peruzzo, Matilda, et al. Geometric Superinductance Qubits: Controlling
Phase Delocalization across a Single Josephson Junction. Zenodo, 2021, doi:10.5281/ZENODO.5592103.'
short: M. Peruzzo, F. Hassani, G. Szep, A. Trioni, E. Redchenko, M. Zemlicka, J.M.
Fink, (2021).
date_created: 2023-05-23T13:42:27Z
date_published: 2021-10-22T00:00:00Z
date_updated: 2023-08-11T10:44:21Z
day: '22'
ddc:
- '530'
department:
- _id: JoFi
doi: 10.5281/ZENODO.5592103
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.5592104
month: '10'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
record:
- id: '9928'
relation: used_in_publication
status: public
status: public
title: 'Geometric superinductance qubits: Controlling phase delocalization across
a single Josephson junction'
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: '13058'
abstract:
- lang: eng
text: The zip file includes source data used in the main text of the manuscript
"Theory of branching morphogenesis by local interactions and global guidance",
as well as a representative Jupyter notebook to reproduce the main figures. A
sample script for the simulations of branching and annihilating random walks is
also included (Sample_script_for_simulations_of_BARWs.ipynb) to generate exemplary
branched networks under external guidance. A detailed description of the simulation
setup is provided in the supplementary information of the manuscipt.
article_processing_charge: No
author:
- first_name: Mehmet C
full_name: Ucar, Mehmet C
id: 50B2A802-6007-11E9-A42B-EB23E6697425
last_name: Ucar
orcid: 0000-0003-0506-4217
citation:
ama: Ucar MC. Source data for the manuscript “Theory of branching morphogenesis
by local interactions and global guidance.” 2021. doi:10.5281/ZENODO.5257160
apa: Ucar, M. C. (2021). Source data for the manuscript “Theory of branching morphogenesis
by local interactions and global guidance.” Zenodo. https://doi.org/10.5281/ZENODO.5257160
chicago: Ucar, Mehmet C. “Source Data for the Manuscript ‘Theory of Branching Morphogenesis
by Local Interactions and Global Guidance.’” Zenodo, 2021. https://doi.org/10.5281/ZENODO.5257160.
ieee: M. C. Ucar, “Source data for the manuscript ‘Theory of branching morphogenesis
by local interactions and global guidance.’” Zenodo, 2021.
ista: Ucar MC. 2021. Source data for the manuscript ‘Theory of branching morphogenesis
by local interactions and global guidance’, Zenodo, 10.5281/ZENODO.5257160.
mla: Ucar, Mehmet C. Source Data for the Manuscript “Theory of Branching Morphogenesis
by Local Interactions and Global Guidance.” Zenodo, 2021, doi:10.5281/ZENODO.5257160.
short: M.C. Ucar, (2021).
date_created: 2023-05-23T13:46:34Z
date_published: 2021-08-25T00:00:00Z
date_updated: 2023-08-14T13:18:46Z
day: '25'
ddc:
- '570'
department:
- _id: EdHa
doi: 10.5281/ZENODO.5257160
main_file_link:
- open_access: '1'
url: https://doi.org/10.5281/zenodo.5257161
month: '08'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
record:
- id: '10402'
relation: used_in_publication
status: public
status: public
title: Source data for the manuscript "Theory of branching morphogenesis by local
interactions and global guidance"
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: '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'
...