1.8k citations · 2k across the 9 of their papers we have counts for
9 papers
Limits of optimal decoding under synaptic coarse-tuning
Ori Hendler, Ronen Segev, Maoz Shamir
Sensory information propagates through successive processing stages in the brain, where synaptic weight patterns between stations determine how downstream neurons decode informatio…
Stimulus-dependent maximum entropy models of neural population codes
Einat Granot-Atedgi, Gašper Tkačik, Ronen Segev +1
Neural populations encode information about their stimulus in a collective fashion, by joint activity patterns of spiking and silence. A full account of this mapping from stimulus…
Retinal metric: a stimulus distance measure derived from population neural responses
Gašper Tkačik, Einat Granot-Atedgi, Ronen Segev +1
The ability of the organism to distinguish between various stimuli is limited by the structure and noise in the population code of its sensory neurons. Here we infer a distance mea…
Retinal adaptation and invariance to changes in higher-order stimulus statistics
Gašper Tkačik, Anandamohan Ghosh, Elad Schneidman +1
Adaptation in the retina is thought to optimize the encoding of natural light signals into sequences of spikes sent to the brain. However, adaptation also entails computational cos…
Synergy from Silence in a Combinatorial Neural Code
Elad Schneidman, Jason L. Puchalla, Ronen Segev +3
The manner in which groups of neurons represent events in the external world is fundamental to neuroscience. Here, we analyze the population code of the retina during naturalistic…
Weak pairwise correlations imply strongly correlated network states in a neural population
Elad Schneidman, Michael J. Berry, Ronen Segev +1
Biological networks have so many possible states that exhaustive sampling is impossible. Successful analysis thus depends on simplifying hypotheses, but experiments on many systems…