Elad Schneidman

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William BialekPrinceton UniversityVerified email at Princeton.EDU
Michael BerryPrinceton UniversityVerified email at princeton.edu
Ronen SegevBen Gurion UniversityVerified email at bgu.ac.il
Gasper TkacikProfessor, Institute of Science and Technology AustriaVerified email at ist.ac.at
Noam SobelProfessor of Neurobiology, Weizmann Institute of ScienceVerified email at weizmann.ac.il
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 AmodeiCEO and Co-Founder at AnthropicVerified email at anthropic.com
Hezi SztainbergHead of Biology at SKiP TherapeuticsVerified email at skiptx.com
Ofer YizharDepartment of Brain Sciences, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Roy HarpazHarvard UniversityVerified email at fas.harvard.edu
Oren ForkoshHebrew UniversityVerified email at mail.huji.ac.il
Ana ParabuckiWeizmann Institute of ScienceVerified email at weizmann.ac.il
adi shklarshTel Aviv UniversityVerified email at post.tau.ac.il
Ran El-YanivProfessor of Computer Science, Technion - Israel Institute of Technology. Chief Scientist - Deci AIVerified email at cs.technion.ac.il
Shlomo DubnovProfessor Music, Computer Science and Engineering, UCSDVerified email at ucsd.edu
Vijay BalasubramanianUniversity of PennsylvaniaVerified email at physics.upenn.edu
Yarden CohenAssistant Professor, Weizmann Institute of ScienceVerified email at weizmann.ac.il

Elad Schneidman

The Joseph & 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	1877	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	522	1998
Synergy, redundancy, and independence in population codes E Schneidman, W Bialek, MJ Berry The Journal of Neuroscience 23 (37), 11539-11553, 2003	519	2003
Network information and connected correlations E Schneidman, S Still, MJ Berry II, W Bialek Physical review letters 91 (23), 238701, 2003	315	2003
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	256	2014
Redundancy in the population code of the retina JL Puchalla, E Schneidman, RA Harris, MJ Berry II Neuron 46 (3), 493-504, 2005	256	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	254	2011
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	196	2010
High-order social interactions in groups of mice Y Shemesh, Y Sztainberg, O Forkosh, T Shlapobersky, A Chen, ... Elife 2, e00759, 2013	184	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	142	2012
Ising models for networks of real neurons G Tkacik, E Schneidman, MJ Berry II, W Bialek arXiv preprint q-bio/0611072, 2006	131	2006
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	121	2013
The architecture of functional interaction networks in the retina E Ganmor, R Segev, E Schneidman The Journal of Neuroscience 31 (8), 3044-3054, 2011	111	2011
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	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	106	2010
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	87	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	86	2009
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	79	2011
Ucn3 and CRF-R2 in the medial amygdala regulate complex social dynamics Y Shemesh, O Forkosh, M Mahn, S Anpilov, Y Sztainberg, S Manashirov, ... Nature neuroscience 19 (11), 1489-1496, 2016	78	2016
Axons as computing devices: basic insights gained from models I Segev, E Schneidman Journal of Physiology-Paris 93 (4), 263-270, 1999	77	1999

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