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, Deputy Dean of the Graduate School, 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
Yair ShemeshResearch associate, Weizmann Institute of ScienceVerified email at weizmann.ac.il
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

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	2028	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	558	1998
Synergy, redundancy, and independence in population codes E Schneidman, W Bialek, MJ Berry The Journal of Neuroscience 23 (37), 11539-11553, 2003	555	2003
Network information and connected correlations E Schneidman, S Still, MJ Berry II, W Bialek Physical review letters 91 (23), 238701, 2003	341	2003
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	294	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	290	2014
Redundancy in the population code of the retina JL Puchalla, E Schneidman, RA Harris, MJ Berry II Neuron 46 (3), 493-504, 2005	262	2005
High-order social interactions in groups of mice Y Shemesh, Y Sztainberg, O Forkosh, T Shlapobersky, A Chen, ... Elife 2, e00759, 2013	221	2013
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	207	2010
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	162	2012
Ising models for networks of real neurons G Tkacik, E Schneidman, MJ Berry II, W Bialek arXiv preprint q-bio/0611072, 2006	144	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	135	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	128	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	118	2010
The architecture of functional interaction networks in the retina E Ganmor, R Segev, E Schneidman The Journal of Neuroscience 31 (8), 3044-3054, 2011	116	2011
Dynamics of social representation in the mouse prefrontal cortex DR Levy, T Tamir, M Kaufman, A Parabucki, A Weissbrod, E Schneidman, ... Nature neuroscience 22 (12), 2013-2022, 2019	106	2019
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	97	2016
Axons as computing devices: basic insights gained from models I Segev, E Schneidman Journal of Physiology-Paris 93 (4), 263-270, 1999	93	1999
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	92	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	90	2011

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