Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing. - Elad Schneidman; Barry Freedman; Idan Segev (Neural Comput., 1998)

Information Capacity and Robustness of Stochastic Neuron Models. - Elad Schneidman; Idan Segev; Naftali Tishby (NIPS, 1999)

Universality and Individuality in a Neural Code. - Elad Schneidman; Naama Brenner; Naftali Tishby; Robert R. de Ruyter van Steveninck; William Bialek (NIPS, 2000)

An Information Theoretic Approach to the Functional Classification of Neurons. - Elad Schneidman; William Bialek; Michael J. Berry II (NIPS, 2002)

A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles. - Shlomo Dubnov; Ran El-Yaniv; Yoram Gdalyahu; Elad Schneidman; Naftali Tishby; Golan Yona (Mach. Learn., 2002)

Smart Swarms of Bacteria-Inspired Agents with Performance Adaptable Interactions. - Adi Shklarsh; Gil Ariel; Elad Schneidman; Eshel Ben-Jacob (PLoS Comput. Biol., 2011)

Stimulus-dependent Maximum Entropy Models of Neural Population Codes. - Einat Granot-Atedgi; Gasper Tkacik; Ronen Segev; Elad Schneidman (PLoS Comput. Biol., 2013)

Searching for Collective Behavior in a Large Network of Sensory Neurons. - Gasper Tkacik; Olivier Marre; Dario Amodei; Elad Schneidman; William Bialek; Michael J. Berry II (PLoS Comput. Biol., 2014)

Collective Learning by Ensembles of Altruistic Diversifying Neural Networks. - Benjamin Brazowski; Elad Schneidman (CoRR, 2020)

Estimating the Unique Information of Continuous Variables. - Ari Pakman; Amin Nejatbakhsh; Dar Gilboa; Abdullah Makkeh; Luca Mazzucato; Michael Wibral; Elad Schneidman (NeurIPS, 2021)

Estimating the Unique Information of Continuous Variables. - Ari Pakman; Dar Gilboa; Elad Schneidman (CoRR, 2021)

The computational and learning benefits of Daleian neural networks. - Adam Haber; Elad Schneidman (NeurIPS, 2022)