Elad Schneidman

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Michael BerryPrinceton UniversityVerified email at princeton.edu
Ronen SegevBen Gurion UniversityVerified email at bgu.ac.il
William BialekPrinceton University and The CUNY Graduate CenterVerified email at Princeton.EDU
Gasper TkacikProfessor, Institute of Science and Technology AustriaVerified email at ist.ac.at
Idan SegevProf. of Computational Neuroscience, Hebrew University of JerusalemVerified email at mail.huji.ac.il
Elad GanmorGoogleVerified email at google.com
Alon ChenWeizmann Institute of ScienceVerified email at weizmann.ac.il
Olivier MarreInstitut de la Vision, INSERM, ParisVerified email at inserm.fr
Dario AmodeiResearch Director at OpenAIVerified email at openai.com
Sztainberg YehezkelScientist at Regeneron PharmaceuticalsVerified email at regeneron.com
Ofer YizharNeurobiology Department, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Oren ForkoshHebrew UniversityVerified email at mail.huji.ac.il
Ran El-YanivProfessor of Computer Science, Technion - Israel Institute of TechnologyVerified email at cs.technion.ac.il
Shlomo DubnovProfessor Music, Computer Science and Engineering, UCSDVerified email at ucsd.edu
adi shklarshTel Aviv UniversityVerified email at post.tau.ac.il
Rob de Ruyter van SteveninckProfessor of Physics and Neuroscience, Indiana UniversityVerified email at indiana.edu
Ehud AhissarProfessor of Neuroscience, Weizmann Institute, Rehovot, IsraelVerified email at weizmann.ac.il
David DeutschPost-doc at the Princeton Neuroscience InstituteVerified email at princeton.edu
Ana ParabuckiWeizmann Institute of ScienceVerified email at weizmann.ac.il
rafi haddadNeurobiology, Bar-Ilan UniversityVerified email at biu.ac.il

Elad Schneidman

The Joseph and Bessie Feinberg Professor, Weizmann Institute of Science

Verified email at weizmann.ac.il - Homepage

theoretical neuroscience machine learning collective behavior neural networks


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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	1635	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	482	1998
Synergy, redundancy, and independence in population codes E Schneidman, W Bialek, MJ Berry The Journal of Neuroscience 23 (37), 11539-11553, 2003	471	2003
Network information and connected correlations E Schneidman, S Still, MJ Berry II, W Bialek Physical review letters 91 (23), 238701, 2003	280	2003
Redundancy in the population code of the retina JL Puchalla, E Schneidman, RA Harris, MJ Berry II Neuron 46 (3), 493-504, 2005	232	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	216	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	208	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	174	2010
High-order social interactions in groups of mice Y Shemesh, Y Sztainberg, O Forkosh, T Shlapobersky, A Chen, ... Elife 2, e00759, 2013	122	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	119	2012
Ising models for networks of real neurons G Tkacik, E Schneidman, MJ Berry II, W Bialek arXiv preprint q-bio/0611072, 2006	115	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	99	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	94	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	90	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	87	2011
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	75	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	75	2009
Quantitative in vivo retinal thickness measurements in healthy subjects D Landau, EM Schneidman, T Jacobovitz, Y Rozenman Ophthalmology 104 (4), 639-642, 1997	75	1997
Smart swarms of bacteria-inspired agents with performance adaptable interactions A Shklarsh, G Ariel, E Schneidman, E Ben-Jacob PLoS Comput Biol 7 (9), e1002177, 2011	68	2011
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	65	2012

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