Functional diversity among sensory neurons from efficient coding principles.

ABSTRACT: In many sensory systems the neural signal is coded by the coordinated response of heterogeneous populations of neurons. What computational benefit does this diversity confer on information processing? We derive an efficient coding framework assuming that neurons have evolved to communicate signals optimally given natural stimulus statistics and metabolic constraints. Incorporating nonlinearities and realistic noise, we study optimal population coding of the same sensory variable using two measures: maximizing the mutual information between stimuli and responses, and minimizing the error incurred by the optimal linear decoder of responses. Our theory is applied to a commonly observed splitting of sensory neurons into ON and OFF that signal stimulus increases or decreases, and to populations

SUBMITTER: Gjorgjieva J 

PROVIDER: S-EPMC6890262 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature