---
_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: '6965'
abstract:
- lang: eng
text: The central object of investigation of this paper is the Hirzebruch class,
a deformation of the Todd class, given by Hirzebruch (for smooth varieties). The
generalization for singular varieties is due to Brasselet–Schürmann–Yokura. Following
the work of Weber, we investigate its equivariant version for (possibly singular)
toric varieties. The local decomposition of the Hirzebruch class to the fixed
points of the torus action and a formula for the local class in terms of the defining
fan are recalled. After this review part, we prove the positivity of local Hirzebruch
classes for all toric varieties, thus proving false the alleged counterexample
given by Weber.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Kamil P
full_name: Rychlewicz, Kamil P
id: 85A07246-A8BF-11E9-B4FA-D9E3E5697425
last_name: Rychlewicz
citation:
ama: Rychlewicz KP. The positivity of local equivariant Hirzebruch class for toric
varieties. Bulletin of the London Mathematical Society. 2021;53(2):560-574.
doi:10.1112/blms.12442
apa: Rychlewicz, K. P. (2021). The positivity of local equivariant Hirzebruch class
for toric varieties. Bulletin of the London Mathematical Society. Wiley.
https://doi.org/10.1112/blms.12442
chicago: Rychlewicz, Kamil P. “The Positivity of Local Equivariant Hirzebruch Class
for Toric Varieties.” Bulletin of the London Mathematical Society. Wiley,
2021. https://doi.org/10.1112/blms.12442.
ieee: K. P. Rychlewicz, “The positivity of local equivariant Hirzebruch class for
toric varieties,” Bulletin of the London Mathematical Society, vol. 53,
no. 2. Wiley, pp. 560–574, 2021.
ista: Rychlewicz KP. 2021. The positivity of local equivariant Hirzebruch class
for toric varieties. Bulletin of the London Mathematical Society. 53(2), 560–574.
mla: Rychlewicz, Kamil P. “The Positivity of Local Equivariant Hirzebruch Class
for Toric Varieties.” Bulletin of the London Mathematical Society, vol.
53, no. 2, Wiley, 2021, pp. 560–74, doi:10.1112/blms.12442.
short: K.P. Rychlewicz, Bulletin of the London Mathematical Society 53 (2021) 560–574.
date_created: 2019-10-24T08:04:09Z
date_published: 2021-04-01T00:00:00Z
date_updated: 2023-08-04T10:43:39Z
day: '01'
department:
- _id: TaHa
doi: 10.1112/blms.12442
external_id:
arxiv:
- '1910.10435'
isi:
- '000594805800001'
intvolume: ' 53'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1910.10435
month: '04'
oa: 1
oa_version: Preprint
page: 560-574
publication: Bulletin of the London Mathematical Society
publication_identifier:
eissn:
- 1469-2120
issn:
- 0024-6093
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: The positivity of local equivariant Hirzebruch class for toric varieties
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 53
year: '2021'
...
---
_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:
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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: '7883'
abstract:
- lang: eng
text: All vertebrates have a spinal cord with dimensions and shape specific to their
species. Yet how species‐specific organ size and shape are achieved is a fundamental
unresolved question in biology. The formation and sculpting of organs begins during
embryonic development. As it develops, the spinal cord extends in anterior–posterior
direction in synchrony with the overall growth of the body. The dorsoventral (DV)
and apicobasal lengths of the spinal cord neuroepithelium also change, while at
the same time a characteristic pattern of neural progenitor subtypes along the
DV axis is established and elaborated. At the basis of these changes in tissue
size and shape are biophysical determinants, such as the change in cell number,
cell size and shape, and anisotropic tissue growth. These processes are controlled
by global tissue‐scale regulators, such as morphogen signaling gradients as well
as mechanical forces. Current challenges in the field are to uncover how these
tissue‐scale regulatory mechanisms are translated to the cellular and molecular
level, and how regulation of distinct cellular processes gives rise to an overall
defined size. Addressing these questions will help not only to achieve a better
understanding of how size is controlled, but also of how tissue size is coordinated
with the specification of pattern.
acknowledgement: 'Austrian Academy of Sciences, Grant/Award Number: DOC fellowship
for Katarzyna Kuzmicz-Kowalska; Austrian Science Fund, Grant/Award Number: F78 (Stem
Cell Modulation); H2020 European Research Council, Grant/Award Number: 680037'
article_number: e383
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Katarzyna
full_name: Kuzmicz-Kowalska, Katarzyna
id: 4CED352A-F248-11E8-B48F-1D18A9856A87
last_name: Kuzmicz-Kowalska
- first_name: Anna
full_name: Kicheva, Anna
id: 3959A2A0-F248-11E8-B48F-1D18A9856A87
last_name: Kicheva
orcid: 0000-0003-4509-4998
citation:
ama: 'Kuzmicz-Kowalska K, Kicheva A. Regulation of size and scale in vertebrate
spinal cord development. Wiley Interdisciplinary Reviews: Developmental Biology.
2021. doi:10.1002/wdev.383'
apa: 'Kuzmicz-Kowalska, K., & Kicheva, A. (2021). Regulation of size and scale
in vertebrate spinal cord development. Wiley Interdisciplinary Reviews: Developmental
Biology. Wiley. https://doi.org/10.1002/wdev.383'
chicago: 'Kuzmicz-Kowalska, Katarzyna, and Anna Kicheva. “Regulation of Size and
Scale in Vertebrate Spinal Cord Development.” Wiley Interdisciplinary Reviews:
Developmental Biology. Wiley, 2021. https://doi.org/10.1002/wdev.383.'
ieee: 'K. Kuzmicz-Kowalska and A. Kicheva, “Regulation of size and scale in vertebrate
spinal cord development,” Wiley Interdisciplinary Reviews: Developmental Biology.
Wiley, 2021.'
ista: 'Kuzmicz-Kowalska K, Kicheva A. 2021. Regulation of size and scale in vertebrate
spinal cord development. Wiley Interdisciplinary Reviews: Developmental Biology.,
e383.'
mla: 'Kuzmicz-Kowalska, Katarzyna, and Anna Kicheva. “Regulation of Size and Scale
in Vertebrate Spinal Cord Development.” Wiley Interdisciplinary Reviews: Developmental
Biology, e383, Wiley, 2021, doi:10.1002/wdev.383.'
short: 'K. Kuzmicz-Kowalska, A. Kicheva, Wiley Interdisciplinary Reviews: Developmental
Biology (2021).'
date_created: 2020-05-24T22:01:00Z
date_published: 2021-04-15T00:00:00Z
date_updated: 2024-03-07T15:03:00Z
day: '15'
ddc:
- '570'
department:
- _id: AnKi
doi: 10.1002/wdev.383
ec_funded: 1
external_id:
isi:
- '000531419400001'
pmid:
- '32391980'
file:
- access_level: open_access
checksum: f0a7745d48afa09ea7025e876a0145a8
content_type: application/pdf
creator: dernst
date_created: 2020-11-24T13:11:39Z
date_updated: 2020-11-24T13:11:39Z
file_id: '8800'
file_name: 2020_WIREs_DevBio_KuzmiczKowalska.pdf
file_size: 2527276
relation: main_file
success: 1
file_date_updated: 2020-11-24T13:11:39Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: B6FC0238-B512-11E9-945C-1524E6697425
call_identifier: H2020
grant_number: '680037'
name: Coordination of Patterning And Growth In the Spinal Cord
- _id: 267AF0E4-B435-11E9-9278-68D0E5697425
name: The role of morphogens in the regulation of neural tube growth
- _id: 059DF620-7A3F-11EA-A408-12923DDC885E
grant_number: F07802
name: Morphogen control of growth and pattern in the spinal cord
publication: 'Wiley Interdisciplinary Reviews: Developmental Biology'
publication_identifier:
eissn:
- '17597692'
issn:
- '17597684'
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '14323'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Regulation of size and scale in vertebrate spinal cord development
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
year: '2021'
...
---
_id: '7900'
abstract:
- lang: eng
text: Hartree–Fock theory has been justified as a mean-field approximation for fermionic
systems. However, it suffers from some defects in predicting physical properties,
making necessary a theory of quantum correlations. Recently, bosonization of many-body
correlations has been rigorously justified as an upper bound on the correlation
energy at high density with weak interactions. We review the bosonic approximation,
deriving an effective Hamiltonian. We then show that for systems with Coulomb
interaction this effective theory predicts collective excitations (plasmons) in
accordance with the random phase approximation of Bohm and Pines, and with experimental
observation.
article_number: '2060009'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Niels P
full_name: Benedikter, Niels P
id: 3DE6C32A-F248-11E8-B48F-1D18A9856A87
last_name: Benedikter
orcid: 0000-0002-1071-6091
citation:
ama: Benedikter NP. Bosonic collective excitations in Fermi gases. Reviews in
Mathematical Physics. 2021;33(1). doi:10.1142/s0129055x20600090
apa: Benedikter, N. P. (2021). Bosonic collective excitations in Fermi gases. Reviews
in Mathematical Physics. World Scientific. https://doi.org/10.1142/s0129055x20600090
chicago: Benedikter, Niels P. “Bosonic Collective Excitations in Fermi Gases.” Reviews
in Mathematical Physics. World Scientific, 2021. https://doi.org/10.1142/s0129055x20600090.
ieee: N. P. Benedikter, “Bosonic collective excitations in Fermi gases,” Reviews
in Mathematical Physics, vol. 33, no. 1. World Scientific, 2021.
ista: Benedikter NP. 2021. Bosonic collective excitations in Fermi gases. Reviews
in Mathematical Physics. 33(1), 2060009.
mla: Benedikter, Niels P. “Bosonic Collective Excitations in Fermi Gases.” Reviews
in Mathematical Physics, vol. 33, no. 1, 2060009, World Scientific, 2021,
doi:10.1142/s0129055x20600090.
short: N.P. Benedikter, Reviews in Mathematical Physics 33 (2021).
date_created: 2020-05-28T16:47:55Z
date_published: 2021-01-01T00:00:00Z
date_updated: 2023-09-05T16:07:40Z
day: '01'
department:
- _id: RoSe
doi: 10.1142/s0129055x20600090
ec_funded: 1
external_id:
arxiv:
- '1910.08190'
isi:
- '000613313200010'
intvolume: ' 33'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1910.08190
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:
eissn:
- 1793-6659
issn:
- 0129-055X
publication_status: published
publisher: World Scientific
quality_controlled: '1'
scopus_import: '1'
status: public
title: Bosonic collective excitations in Fermi gases
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 33
year: '2021'
...
---
_id: '7901'
abstract:
- lang: eng
text: We derive rigorously the leading order of the correlation energy of a Fermi
gas in a scaling regime of high density and weak interaction. The result verifies
the prediction of the random-phase approximation. Our proof refines the method
of collective bosonization in three dimensions. We approximately diagonalize an
effective Hamiltonian describing approximately bosonic collective excitations
around the Hartree–Fock state, while showing that gapless and non-collective excitations
have only a negligible effect on the ground state energy.
acknowledgement: We thank Christian Hainzl for helpful discussions and a referee for
very careful reading of the paper and many helpful suggestions. NB and RS were supported
by the European Research Council (ERC) under the European Union’s Horizon 2020 research
and innovation programme (grant agreement No. 694227). Part of the research of NB
was conducted on the RZD18 Nice–Milan–Vienna–Moscow. NB thanks Elliott H. Lieb and
Peter Otte for explanations about the Luttinger model. PTN has received funding
from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under
Germany’s Excellence Strategy (EXC-2111-390814868). MP acknowledges financial support
from the European Research Council (ERC) under the European Union’s Horizon 2020
research and innovation programme (ERC StG MaMBoQ, grant agreement No. 802901).
BS gratefully acknowledges financial support from the NCCR SwissMAP, from the Swiss
National Science Foundation through the Grant “Dynamical and energetic properties
of Bose-Einstein condensates” and from the European Research Council through the
ERC-AdG CLaQS (grant agreement No. 834782). All authors acknowledge support for
workshop participation from Mathematisches Forschungsinstitut Oberwolfach (Leibniz
Association). NB, PTN, BS, and RS acknowledge support for workshop participation
from Fondation des Treilles.
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Niels P
full_name: Benedikter, Niels P
id: 3DE6C32A-F248-11E8-B48F-1D18A9856A87
last_name: Benedikter
orcid: 0000-0002-1071-6091
- first_name: Phan Thành
full_name: Nam, Phan Thành
last_name: Nam
- first_name: Marcello
full_name: Porta, Marcello
last_name: Porta
- 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: Benedikter NP, Nam PT, Porta M, Schlein B, Seiringer R. Correlation energy
of a weakly interacting Fermi gas. Inventiones Mathematicae. 2021;225:885-979.
doi:10.1007/s00222-021-01041-5
apa: Benedikter, N. P., Nam, P. T., Porta, M., Schlein, B., & Seiringer, R.
(2021). Correlation energy of a weakly interacting Fermi gas. Inventiones Mathematicae.
Springer. https://doi.org/10.1007/s00222-021-01041-5
chicago: Benedikter, Niels P, Phan Thành Nam, Marcello Porta, Benjamin Schlein,
and Robert Seiringer. “Correlation Energy of a Weakly Interacting Fermi Gas.”
Inventiones Mathematicae. Springer, 2021. https://doi.org/10.1007/s00222-021-01041-5.
ieee: N. P. Benedikter, P. T. Nam, M. Porta, B. Schlein, and R. Seiringer, “Correlation
energy of a weakly interacting Fermi gas,” Inventiones Mathematicae, vol.
225. Springer, pp. 885–979, 2021.
ista: Benedikter NP, Nam PT, Porta M, Schlein B, Seiringer R. 2021. Correlation
energy of a weakly interacting Fermi gas. Inventiones Mathematicae. 225, 885–979.
mla: Benedikter, Niels P., et al. “Correlation Energy of a Weakly Interacting Fermi
Gas.” Inventiones Mathematicae, vol. 225, Springer, 2021, pp. 885–979,
doi:10.1007/s00222-021-01041-5.
short: N.P. Benedikter, P.T. Nam, M. Porta, B. Schlein, R. Seiringer, Inventiones
Mathematicae 225 (2021) 885–979.
date_created: 2020-05-28T16:48:20Z
date_published: 2021-05-03T00:00:00Z
date_updated: 2023-08-21T06:30:30Z
day: '03'
ddc:
- '510'
department:
- _id: RoSe
doi: 10.1007/s00222-021-01041-5
ec_funded: 1
external_id:
arxiv:
- '2005.08933'
isi:
- '000646573600001'
file:
- access_level: open_access
checksum: f38c79dfd828cdc7f49a34b37b83d376
content_type: application/pdf
creator: dernst
date_created: 2022-05-16T12:23:40Z
date_updated: 2022-05-16T12:23:40Z
file_id: '11386'
file_name: 2021_InventMath_Benedikter.pdf
file_size: 1089319
relation: main_file
success: 1
file_date_updated: 2022-05-16T12:23:40Z
has_accepted_license: '1'
intvolume: ' 225'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 885-979
project:
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
- _id: 25C6DC12-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '694227'
name: Analysis of quantum many-body systems
publication: Inventiones Mathematicae
publication_identifier:
eissn:
- 1432-1297
issn:
- 0020-9910
publication_status: published
publisher: Springer
quality_controlled: '1'
scopus_import: '1'
status: public
title: Correlation energy of a weakly interacting Fermi gas
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: 225
year: '2021'
...
---
_id: '7905'
abstract:
- lang: eng
text: We investigate a sheaf-theoretic interpretation of stratification learning
from geometric and topological perspectives. Our main result is the construction
of stratification learning algorithms framed in terms of a sheaf on a partially
ordered set with the Alexandroff topology. We prove that the resulting decomposition
is the unique minimal stratification for which the strata are homogeneous and
the given sheaf is constructible. In particular, when we choose to work with the
local homology sheaf, our algorithm gives an alternative to the local homology
transfer algorithm given in Bendich et al. (Proceedings of the 23rd Annual ACM-SIAM
Symposium on Discrete Algorithms, pp. 1355–1370, ACM, New York, 2012), and the
cohomology stratification algorithm given in Nanda (Found. Comput. Math. 20(2),
195–222, 2020). Additionally, we give examples of stratifications based on the
geometric techniques of Breiding et al. (Rev. Mat. Complut. 31(3), 545–593, 2018),
illustrating how the sheaf-theoretic approach can be used to study stratifications
from both topological and geometric perspectives. This approach also points toward
future applications of sheaf theory in the study of topological data analysis
by illustrating the utility of the language of sheaf theory in generalizing existing
algorithms.
acknowledgement: Open access funding provided by Institute of Science and Technology
(IST Austria). This work was partially supported by NSF IIS-1513616 and NSF ABI-1661375.
The authors would like to thank the anonymous referees for their insightful comments.
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Adam
full_name: Brown, Adam
id: 70B7FDF6-608D-11E9-9333-8535E6697425
last_name: Brown
- first_name: Bei
full_name: Wang, Bei
last_name: Wang
citation:
ama: Brown A, Wang B. Sheaf-theoretic stratification learning from geometric and
topological perspectives. Discrete and Computational Geometry. 2021;65:1166-1198.
doi:10.1007/s00454-020-00206-y
apa: Brown, A., & Wang, B. (2021). Sheaf-theoretic stratification learning from
geometric and topological perspectives. Discrete and Computational Geometry.
Springer Nature. https://doi.org/10.1007/s00454-020-00206-y
chicago: Brown, Adam, and Bei Wang. “Sheaf-Theoretic Stratification Learning from
Geometric and Topological Perspectives.” Discrete and Computational Geometry.
Springer Nature, 2021. https://doi.org/10.1007/s00454-020-00206-y.
ieee: A. Brown and B. Wang, “Sheaf-theoretic stratification learning from geometric
and topological perspectives,” Discrete and Computational Geometry, vol.
65. Springer Nature, pp. 1166–1198, 2021.
ista: Brown A, Wang B. 2021. Sheaf-theoretic stratification learning from geometric
and topological perspectives. Discrete and Computational Geometry. 65, 1166–1198.
mla: Brown, Adam, and Bei Wang. “Sheaf-Theoretic Stratification Learning from Geometric
and Topological Perspectives.” Discrete and Computational Geometry, vol.
65, Springer Nature, 2021, pp. 1166–98, doi:10.1007/s00454-020-00206-y.
short: A. Brown, B. Wang, Discrete and Computational Geometry 65 (2021) 1166–1198.
date_created: 2020-05-30T10:26:04Z
date_published: 2021-06-01T00:00:00Z
date_updated: 2024-03-07T15:01:58Z
day: '01'
ddc:
- '510'
department:
- _id: HeEd
doi: 10.1007/s00454-020-00206-y
external_id:
arxiv:
- '1712.07734'
isi:
- '000536324700001'
file:
- access_level: open_access
checksum: 487a84ea5841b75f04f66d7ebd71b67e
content_type: application/pdf
creator: dernst
date_created: 2020-11-25T09:06:41Z
date_updated: 2020-11-25T09:06:41Z
file_id: '8803'
file_name: 2020_DiscreteCompGeometry_Brown.pdf
file_size: 1013730
relation: main_file
success: 1
file_date_updated: 2020-11-25T09:06:41Z
has_accepted_license: '1'
intvolume: ' 65'
isi: 1
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 1166-1198
project:
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
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: Sheaf-theoretic stratification learning from geometric and topological perspectives
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: 65
year: '2021'
...
---
_id: '7925'
abstract:
- lang: eng
text: In this paper, we introduce a relaxed CQ method with alternated inertial step
for solving split feasibility problems. We give convergence of the sequence generated
by our method under some suitable assumptions. Some numerical implementations
from sparse signal and image deblurring are reported to show the efficiency of
our method.
acknowledgement: Open access funding provided by Institute of Science and Technology
(IST Austria). The authors are grateful to the referees for their insightful comments
which have improved the earlier version of the manuscript greatly. The first author
has received funding from the European Research Council (ERC) under the European
Union’s Seventh Framework Program (FP7-2007-2013) (Grant agreement No. 616160).
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Yekini
full_name: Shehu, Yekini
id: 3FC7CB58-F248-11E8-B48F-1D18A9856A87
last_name: Shehu
orcid: 0000-0001-9224-7139
- first_name: Aviv
full_name: Gibali, Aviv
last_name: Gibali
citation:
ama: Shehu Y, Gibali A. New inertial relaxed method for solving split feasibilities.
Optimization Letters. 2021;15:2109-2126. doi:10.1007/s11590-020-01603-1
apa: Shehu, Y., & Gibali, A. (2021). New inertial relaxed method for solving
split feasibilities. Optimization Letters. Springer Nature. https://doi.org/10.1007/s11590-020-01603-1
chicago: Shehu, Yekini, and Aviv Gibali. “New Inertial Relaxed Method for Solving
Split Feasibilities.” Optimization Letters. Springer Nature, 2021. https://doi.org/10.1007/s11590-020-01603-1.
ieee: Y. Shehu and A. Gibali, “New inertial relaxed method for solving split feasibilities,”
Optimization Letters, vol. 15. Springer Nature, pp. 2109–2126, 2021.
ista: Shehu Y, Gibali A. 2021. New inertial relaxed method for solving split feasibilities.
Optimization Letters. 15, 2109–2126.
mla: Shehu, Yekini, and Aviv Gibali. “New Inertial Relaxed Method for Solving Split
Feasibilities.” Optimization Letters, vol. 15, Springer Nature, 2021, pp.
2109–26, doi:10.1007/s11590-020-01603-1.
short: Y. Shehu, A. Gibali, Optimization Letters 15 (2021) 2109–2126.
date_created: 2020-06-04T11:28:33Z
date_published: 2021-09-01T00:00:00Z
date_updated: 2024-03-07T15:00:43Z
day: '01'
ddc:
- '510'
department:
- _id: VlKo
doi: 10.1007/s11590-020-01603-1
ec_funded: 1
external_id:
isi:
- '000537342300001'
file:
- access_level: open_access
checksum: 63c5f31cd04626152a19f97a2476281b
content_type: application/pdf
creator: kschuh
date_created: 2024-03-07T14:58:51Z
date_updated: 2024-03-07T14:58:51Z
file_id: '15089'
file_name: 2021_OptimizationLetters_Shehu.pdf
file_size: 2148882
relation: main_file
success: 1
file_date_updated: 2024-03-07T14:58:51Z
has_accepted_license: '1'
intvolume: ' 15'
isi: 1
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 2109-2126
project:
- _id: 25FBA906-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '616160'
name: 'Discrete Optimization in Computer Vision: Theory and Practice'
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
publication: Optimization Letters
publication_identifier:
eissn:
- 1862-4480
issn:
- 1862-4472
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: New inertial relaxed method for solving split feasibilities
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: 15
year: '2021'
...
---
_id: '7939'
abstract:
- lang: eng
text: "We design fast deterministic algorithms for distance computation in the Congested
Clique model. Our key contributions include:\r\n A (2+ϵ)-approximation for
all-pairs shortest paths in O(log2n/ϵ) rounds on unweighted undirected graphs.
With a small additional additive factor, this also applies for weighted graphs.
This is the first sub-polynomial constant-factor approximation for APSP in this
model.\r\n A (1+ϵ)-approximation for multi-source shortest paths from O(n−−√)
sources in O(log2n/ϵ) rounds on weighted undirected graphs. This is the first
sub-polynomial algorithm obtaining this approximation for a set of sources of
polynomial size.\r\n\r\nOur main techniques are new distance tools that are obtained
via improved algorithms for sparse matrix multiplication, which we leverage to
construct efficient hopsets and shortest paths. Furthermore, our techniques extend
to additional distance problems for which we improve upon the state-of-the-art,
including diameter approximation, and an exact single-source shortest paths algorithm
for weighted undirected graphs in O~(n1/6) rounds. "
acknowledgement: Open access funding provided by Institute of Science and Technology
(IST Austria). We thank Mohsen Ghaffari, Michael Elkin and Merav Parter for fruitful
discussions. This project has received funding from the European Union’s Horizon
2020 Research And Innovation Program under Grant Agreement No. 755839.
article_processing_charge: Yes (via OA deal)
article_type: original
arxiv: 1
author:
- first_name: Keren
full_name: Censor-Hillel, Keren
last_name: Censor-Hillel
- first_name: Michal
full_name: Dory, Michal
last_name: Dory
- first_name: Janne
full_name: Korhonen, Janne
id: C5402D42-15BC-11E9-A202-CA2BE6697425
last_name: Korhonen
- first_name: Dean
full_name: Leitersdorf, Dean
last_name: Leitersdorf
citation:
ama: Censor-Hillel K, Dory M, Korhonen J, Leitersdorf D. Fast approximate shortest
paths in the congested clique. Distributed Computing. 2021;34:463-487.
doi:10.1007/s00446-020-00380-5
apa: Censor-Hillel, K., Dory, M., Korhonen, J., & Leitersdorf, D. (2021). Fast
approximate shortest paths in the congested clique. Distributed Computing.
Springer Nature. https://doi.org/10.1007/s00446-020-00380-5
chicago: Censor-Hillel, Keren, Michal Dory, Janne Korhonen, and Dean Leitersdorf.
“Fast Approximate Shortest Paths in the Congested Clique.” Distributed Computing.
Springer Nature, 2021. https://doi.org/10.1007/s00446-020-00380-5.
ieee: K. Censor-Hillel, M. Dory, J. Korhonen, and D. Leitersdorf, “Fast approximate
shortest paths in the congested clique,” Distributed Computing, vol. 34.
Springer Nature, pp. 463–487, 2021.
ista: Censor-Hillel K, Dory M, Korhonen J, Leitersdorf D. 2021. Fast approximate
shortest paths in the congested clique. Distributed Computing. 34, 463–487.
mla: Censor-Hillel, Keren, et al. “Fast Approximate Shortest Paths in the Congested
Clique.” Distributed Computing, vol. 34, Springer Nature, 2021, pp. 463–87,
doi:10.1007/s00446-020-00380-5.
short: K. Censor-Hillel, M. Dory, J. Korhonen, D. Leitersdorf, Distributed Computing
34 (2021) 463–487.
date_created: 2020-06-07T22:00:54Z
date_published: 2021-12-01T00:00:00Z
date_updated: 2024-03-07T14:43:39Z
day: '01'
department:
- _id: DaAl
doi: 10.1007/s00446-020-00380-5
external_id:
arxiv:
- '1903.05956'
isi:
- '000556444600001'
intvolume: ' 34'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1007/s00446-020-00380-5
month: '12'
oa: 1
oa_version: Published Version
page: 463-487
project:
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
publication: Distributed Computing
publication_identifier:
eissn:
- 1432-0452
issn:
- 0178-2770
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '6933'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Fast approximate shortest paths in the congested clique
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2021'
...
---
_id: '7941'
abstract:
- lang: eng
text: Expansion microscopy is a recently developed super-resolution imaging technique,
which provides an alternative to optics-based methods such as deterministic approaches
(e.g. STED) or stochastic approaches (e.g. PALM/STORM). The idea behind expansion
microscopy is to embed the biological sample in a swellable gel, and then to expand
it isotropically, thereby increasing the distance between the fluorophores. This
approach breaks the diffraction barrier by simply separating the emission point-spread-functions
of the fluorophores. The resolution attainable in expansion microscopy is thus
directly dependent on the separation that can be achieved, i.e. on the expansion
factor. The original implementation of the technique achieved an expansion factor
of fourfold, for a resolution of 70–80 nm. The subsequently developed X10 method
achieves an expansion factor of 10-fold, for a resolution of 25–30 nm. This technique
can be implemented with minimal technical requirements on any standard fluorescence
microscope, and is more easily applied for multi-color imaging than either deterministic
or stochastic super-resolution approaches. This renders X10 expansion microscopy
a highly promising tool for new biological discoveries, as discussed here, and
as demonstrated by several recent applications.
article_processing_charge: No
author:
- first_name: Sven M
full_name: Truckenbrodt, Sven M
id: 45812BD4-F248-11E8-B48F-1D18A9856A87
last_name: Truckenbrodt
- first_name: Silvio O.
full_name: Rizzoli, Silvio O.
last_name: Rizzoli
citation:
ama: 'Truckenbrodt SM, Rizzoli SO. Simple multi-color super-resolution by X10 microscopy.
In: Methods in Cell Biology. Vol 161. Elsevier; 2021:33-56. doi:10.1016/bs.mcb.2020.04.016'
apa: Truckenbrodt, S. M., & Rizzoli, S. O. (2021). Simple multi-color super-resolution
by X10 microscopy. In Methods in Cell Biology (Vol. 161, pp. 33–56). Elsevier.
https://doi.org/10.1016/bs.mcb.2020.04.016
chicago: Truckenbrodt, Sven M, and Silvio O. Rizzoli. “Simple Multi-Color Super-Resolution
by X10 Microscopy.” In Methods in Cell Biology, 161:33–56. Elsevier, 2021.
https://doi.org/10.1016/bs.mcb.2020.04.016.
ieee: S. M. Truckenbrodt and S. O. Rizzoli, “Simple multi-color super-resolution
by X10 microscopy,” in Methods in Cell Biology, vol. 161, Elsevier, 2021,
pp. 33–56.
ista: 'Truckenbrodt SM, Rizzoli SO. 2021.Simple multi-color super-resolution by
X10 microscopy. In: Methods in Cell Biology. vol. 161, 33–56.'
mla: Truckenbrodt, Sven M., and Silvio O. Rizzoli. “Simple Multi-Color Super-Resolution
by X10 Microscopy.” Methods in Cell Biology, vol. 161, Elsevier, 2021,
pp. 33–56, doi:10.1016/bs.mcb.2020.04.016.
short: S.M. Truckenbrodt, S.O. Rizzoli, in:, Methods in Cell Biology, Elsevier,
2021, pp. 33–56.
date_created: 2020-06-07T22:00:55Z
date_published: 2021-01-01T00:00:00Z
date_updated: 2021-03-11T08:49:08Z
day: '01'
department:
- _id: JoDa
doi: 10.1016/bs.mcb.2020.04.016
external_id:
pmid:
- '33478696'
intvolume: ' 161'
language:
- iso: eng
month: '01'
oa_version: None
page: 33-56
pmid: 1
publication: Methods in Cell Biology
publication_identifier:
isbn:
- 978012820807-6
issn:
- 0091-679X
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Simple multi-color super-resolution by X10 microscopy
type: book_chapter
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 161
year: '2021'
...
---
_id: '8196'
abstract:
- lang: eng
text: This paper aims to obtain a strong convergence result for a Douglas–Rachford
splitting method with inertial extrapolation step for finding a zero of the sum
of two set-valued maximal monotone operators without any further assumption of
uniform monotonicity on any of the involved maximal monotone operators. Furthermore,
our proposed method is easy to implement and the inertial factor in our proposed
method is a natural choice. Our method of proof is of independent interest. Finally,
some numerical implementations are given to confirm the theoretical analysis.
acknowledgement: Open access funding provided by Institute of Science and Technology
(IST Austria). The project of Yekini Shehu has received funding from the European
Research Council (ERC) under the European Union’s Seventh Framework Program (FP7—2007–2013)
(Grant Agreement No. 616160). The authors are grateful to the anonymous referees
and the handling Editor for their comments and suggestions which have improved the
earlier version of the manuscript greatly.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Yekini
full_name: Shehu, Yekini
id: 3FC7CB58-F248-11E8-B48F-1D18A9856A87
last_name: Shehu
orcid: 0000-0001-9224-7139
- first_name: Qiao-Li
full_name: Dong, Qiao-Li
last_name: Dong
- first_name: Lu-Lu
full_name: Liu, Lu-Lu
last_name: Liu
- first_name: Jen-Chih
full_name: Yao, Jen-Chih
last_name: Yao
citation:
ama: Shehu Y, Dong Q-L, Liu L-L, Yao J-C. New strong convergence method for the
sum of two maximal monotone operators. Optimization and Engineering. 2021;22:2627-2653.
doi:10.1007/s11081-020-09544-5
apa: Shehu, Y., Dong, Q.-L., Liu, L.-L., & Yao, J.-C. (2021). New strong convergence
method for the sum of two maximal monotone operators. Optimization and Engineering.
Springer Nature. https://doi.org/10.1007/s11081-020-09544-5
chicago: Shehu, Yekini, Qiao-Li Dong, Lu-Lu Liu, and Jen-Chih Yao. “New Strong Convergence
Method for the Sum of Two Maximal Monotone Operators.” Optimization and Engineering.
Springer Nature, 2021. https://doi.org/10.1007/s11081-020-09544-5.
ieee: Y. Shehu, Q.-L. Dong, L.-L. Liu, and J.-C. Yao, “New strong convergence method
for the sum of two maximal monotone operators,” Optimization and Engineering,
vol. 22. Springer Nature, pp. 2627–2653, 2021.
ista: Shehu Y, Dong Q-L, Liu L-L, Yao J-C. 2021. New strong convergence method for
the sum of two maximal monotone operators. Optimization and Engineering. 22, 2627–2653.
mla: Shehu, Yekini, et al. “New Strong Convergence Method for the Sum of Two Maximal
Monotone Operators.” Optimization and Engineering, vol. 22, Springer Nature,
2021, pp. 2627–53, doi:10.1007/s11081-020-09544-5.
short: Y. Shehu, Q.-L. Dong, L.-L. Liu, J.-C. Yao, Optimization and Engineering
22 (2021) 2627–2653.
date_created: 2020-08-03T14:29:57Z
date_published: 2021-02-25T00:00:00Z
date_updated: 2024-03-07T14:39:29Z
day: '25'
ddc:
- '510'
department:
- _id: VlKo
doi: 10.1007/s11081-020-09544-5
ec_funded: 1
external_id:
isi:
- '000559345400001'
file:
- access_level: open_access
content_type: application/pdf
creator: dernst
date_created: 2020-08-03T15:24:39Z
date_updated: 2020-08-03T15:24:39Z
file_id: '8197'
file_name: 2020_OptimizationEngineering_Shehu.pdf
file_size: 2137860
relation: main_file
success: 1
file_date_updated: 2020-08-03T15:24:39Z
has_accepted_license: '1'
intvolume: ' 22'
isi: 1
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: 2627-2653
project:
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
name: IST Austria Open Access Fund
- _id: 25FBA906-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '616160'
name: 'Discrete Optimization in Computer Vision: Theory and Practice'
publication: Optimization and Engineering
publication_identifier:
eissn:
- 1573-2924
issn:
- 1389-4420
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: New strong convergence method for the sum of two maximal monotone operators
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: 22
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'
...