Elad Schneidman - researchr alias

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Viewing Publication 1 - 10 from 10

2022

The computational and learning benefits of Daleian neural networksAdam Haber, Elad Schneidman. nips 2022: [doi]

2021

Estimating the Unique Information of Continuous VariablesAri Pakman, Amin Nejatbakhsh, Dar Gilboa, Abdullah Makkeh, Luca Mazzucato, Michael Wibral, Elad Schneidman. nips 2021: 20295-20307 [doi]

2014

Searching for Collective Behavior in a Large Network of Sensory NeuronsGasper Tkacik, Olivier Marre, Dario Amodei, Elad Schneidman, William Bialek, Michael J. Berry II. ploscb, 10(1), 2014. [doi]

2013

Stimulus-dependent Maximum Entropy Models of Neural Population CodesEinat Granot-Atedgi, Gasper Tkacik, Ronen Segev, Elad Schneidman. ploscb, 9(3), 2013. [doi]

2011

Smart Swarms of Bacteria-Inspired Agents with Performance Adaptable InteractionsAdi Shklarsh, Gil Ariel, Elad Schneidman, Eshel Ben-Jacob. ploscb, 7(9), 2011. [doi]

2002

A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance ProfilesShlomo Dubnov, Ran El-Yaniv, Yoram Gdalyahu, Elad Schneidman, Naftali Tishby, Golan Yona. ml, 47(1):35-61, 2002.

An Information Theoretic Approach to the Functional Classification of NeuronsElad Schneidman, William Bialek, Michael J. Berry II. nips 2003: 197-204 [doi]

2000

Universality and Individuality in a Neural CodeElad Schneidman, Naama Brenner, Naftali Tishby, Robert R. de Ruyter van Steveninck, William Bialek. nips 2001: 159-165

1999

Information Capacity and Robustness of Stochastic Neuron ModelsElad Schneidman, Idan Segev, Naftali Tishby. nips 2000: 178-184 [doi]

1998

Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike TimingElad Schneidman, Barry Freedman, Idan Segev. neco, 10(7):1679-1703, 1998.

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