Elad Schneidman

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Coauteurs

William BialekPrinceton University and The CUNY Graduate CenterAdresse e-mail validée de Princeton.EDU
Michael BerryPrinceton UniversityAdresse e-mail validée de princeton.edu
Ronen SegevBen Gurion UniversityAdresse e-mail validée de bgu.ac.il
Gasper TkacikProfessor, Institute of Science and Technology AustriaAdresse e-mail validée de ist.ac.at
Noam SobelProfessor of Neurobiology, Weizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il
Idan SegevProf. of Computational Neuroscience, Hebrew University of JerusalemAdresse e-mail validée de mail.huji.ac.il
Elad GanmorGoogleAdresse e-mail validée de google.com
Olivier MarreInstitut de la Vision, INSERM, ParisAdresse e-mail validée de inserm.fr
Dario AmodeiCEO and Co-Founder at AnthropicAdresse e-mail validée de anthropic.com
Alon ChenWeizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il
Hezi SztainbergHead of Biology at SKiP TherapeuticsAdresse e-mail validée de skiptx.com
Roy HarpazHarvard UniversityAdresse e-mail validée de fas.harvard.edu
Ofer YizharDepartment of Brain Sciences, Weizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il
Oren ForkoshHebrew UniversityAdresse e-mail validée de mail.huji.ac.il
Ran El-YanivProfessor of Computer Science, Technion - Israel Institute of TechnologyAdresse e-mail validée de cs.technion.ac.il
Shlomo DubnovProfessor Music, Computer Science and Engineering, UCSDAdresse e-mail validée de ucsd.edu
adi shklarshTel Aviv UniversityAdresse e-mail validée de post.tau.ac.il
Ana ParabuckiWeizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il
Vijay BalasubramanianUniversity of PennsylvaniaAdresse e-mail validée de physics.upenn.edu
Rob de Ruyter van SteveninckProfessor of Physics and Neuroscience, Indiana UniversityAdresse e-mail validée de indiana.edu

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Elad Schneidman

The Joseph & Bessie Feinberg Professor, Weizmann Institute of Science

Adresse e-mail validée de weizmann.ac.il - Page d'accueil

theoretical neuroscience machine learning collective behavior neural networks


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Weak pairwise correlations imply strongly correlated network states in a neural population E Schneidman, MJ Berry II, R Segev, W Bialek Nature 440 (7087), 1007-1012, 2006	1746	2006
Ion channel stochasticity may be critical in determining the reliability and precision of spike timing E Schneidman, B Freedman, I Segev Neural computation 10 (7), 1679-1703, 1998	503	1998
Synergy, redundancy, and independence in population codes E Schneidman, W Bialek, MJ Berry The Journal of Neuroscience 23 (37), 11539-11553, 2003	498	2003
Network information and connected correlations E Schneidman, S Still, MJ Berry II, W Bialek Physical review letters 91 (23), 238701, 2003	297	2003
Redundancy in the population code of the retina JL Puchalla, E Schneidman, RA Harris, MJ Berry II Neuron 46 (3), 493-504, 2005	250	2005
Sparse low-order interaction network underlies a highly correlated and learnable neural population code E Ganmor, R Segev, E Schneidman Proceedings of the National Academy of sciences 108 (23), 9679-9684, 2011	233	2011
Searching for collective behavior in a large network of sensory neurons G Tkačik, O Marre, D Amodei, E Schneidman, W Bialek, MJ Berry II PLoS Comput Biol 10 (1), e1003408, 2014	229	2014
Optimal population coding by noisy spiking neurons G Tkačik, JS Prentice, V Balasubramanian, E Schneidman Proceedings of the National Academy of Sciences 107 (32), 14419-14424, 2010	179	2010
High-order social interactions in groups of mice Y Shemesh, Y Sztainberg, O Forkosh, T Shlapobersky, A Chen, ... Elife 2, e00759, 2013	156	2013
Perceptual convergence of multi-component mixtures in olfaction implies an olfactory white T Weiss, K Snitz, A Yablonka, RM Khan, D Gafsou, E Schneidman, ... Proceedings of the National Academy of Sciences 109 (49), 19959-19964, 2012	132	2012
Ising models for networks of real neurons G Tkacik, E Schneidman, MJ Berry II, W Bialek arXiv preprint q-bio/0611072, 2006	127	2006
The architecture of functional interaction networks in the retina E Ganmor, R Segev, E Schneidman The Journal of Neuroscience 31 (8), 3044-3054, 2011	106	2011
Global features of neural activity in the olfactory system form a parallel code that predicts olfactory behavior and perception R Haddad, T Weiss, R Khan, B Nadler, N Mandairon, M Bensafi, ... Journal of Neuroscience 30 (27), 9017-9026, 2010	103	2010
Stimulus-dependent maximum entropy models of neural population codes E Granot-Atedgi, G Tkačik, R Segev, E Schneidman PLoS computational biology 9 (3), e1002922, 2013	101	2013
Neural activity at the human olfactory epithelium reflects olfactory perception H Lapid, S Shushan, A Plotkin, H Voet, Y Roth, T Hummel, E Schneidman, ... Nature Neuroscience 14 (11), 1455-1461, 2011	96	2011
Spin glass models for a network of real neurons G Tkacik, E Schneidman, II Berry, J Michael, W Bialek Arxiv preprint arXiv:0912.5409, 2009	82	2009
Synergy from Silence in a Combinatorial Neural Code E Schneidman, JL Puchalla, R Segev, RA Harris, W Bialek, MJ Berry II The Journal of Neuroscience 31 (44), 15732-15741, 2011	81	2011
Smart swarms of bacteria-inspired agents with performance adaptable interactions A Shklarsh, G Ariel, E Schneidman, E Ben-Jacob PLoS computational biology 7 (9), e1002177, 2011	74	2011
Quantitative in vivo retinal thickness measurements in healthy subjects D Landau, EM Schneidman, T Jacobovitz, Y Rozenman Ophthalmology 104 (4), 639-642, 1997	74	1997
Fast feedback in active sensing: touch-induced changes to whisker-object interaction D Deutsch, M Pietr, PM Knutsen, E Ahissar, E Schneidman PLoS ONE 7 (9), e44272, 2012	67	2012

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