Elad Schneidman

13 papers A* 2Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Semantic representations emerge in biologically inspired ensembles of cross-supervising neural networks.
CoRR
Roy Urbach, Elad Schneidman
2022 A* conf
The computational and learning benefits of Daleian neural networks.
NeurIPS
Adam Haber, Elad Schneidman
2021 A* conf
Estimating the Unique Information of Continuous Variables.
NeurIPS
Ari Pakman, Amin Nejatbakhsh, Dar Gilboa, Abdullah Makkeh, Luca Mazzucato, Michael Wibral, Elad Schneidman
2021 J jnl
Estimating the Unique Information of Continuous Variables.
CoRR
Ari Pakman, Dar Gilboa, Elad Schneidman
2020 J jnl
Collective Learning by Ensembles of Altruistic Diversifying Neural Networks.
CoRR
Benjamin Brazowski, Elad Schneidman
2014 J jnl
Searching for Collective Behavior in a Large Network of Sensory Neurons.
PLoS Comput. Biol.
Gasper Tkacik, Olivier Marre, Dario Amodei, Elad Schneidman, William Bialek, Michael J. Berry II
2013 J jnl
Stimulus-dependent Maximum Entropy Models of Neural Population Codes.
PLoS Comput. Biol.
Einat Granot-Atedgi, Gasper Tkacik, Ronen Segev, Elad Schneidman
2011 J jnl
Smart Swarms of Bacteria-Inspired Agents with Performance Adaptable Interactions.
PLoS Comput. Biol.
Adi Shklarsh, Gil Ariel, Elad Schneidman, Eshel Ben-Jacob
2002 J jnl
A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles.
Mach. Learn.
Shlomo Dubnov, Ran El-Yaniv, Yoram Gdalyahu, Elad Schneidman, Naftali Tishby, Golan Yona
2002 — conf
An Information Theoretic Approach to the Functional Classification of Neurons.
NIPS
Elad Schneidman, William Bialek, Michael J. Berry II
2000 — conf
Universality and Individuality in a Neural Code.
NIPS
Elad Schneidman, Naama Brenner, Naftali Tishby, Robert R. de Ruyter van Steveninck, William Bialek
1999 — conf
Information Capacity and Robustness of Stochastic Neuron Models.
NIPS
Elad Schneidman, Idan Segev, Naftali Tishby
1998 J jnl
Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing.
Neural Comput.
Elad Schneidman, Barry Freedman, Idan Segev