A stimulus-dependent maximum entropy model of the retinal population neural code Academic Article uri icon

abstract

  • The nature of the code by which information is represented by the joint activity patterns of groups of neurons, depends on the stimulus-response properties of each of the single cells, and the dependencies among neurons. However, most models of neural encoding, describing the selectivity and stochastic nature of neural response to various stimuli, have focused on single neurons or small groups of cells, using simplified, artificial stimuli. Recent results, in several different neural systems, have used maximum entropy pairwise models to show that the typically weak pairwise correlations between neurons add up to dominate the population activity patterns. While reflecting the strong effect of pairwise correlations on the collective behavior of the population, these models have not addressed the stimulus dependent properties of neural population code. Here we aim at elucidating how large …

publication date

  • January 1, 2010