The statistics of how natural images drive the responses of neurons.

ABSTRACT: To model the responses of neurons in the early visual system, at least three basic components are required: a receptive field, a normalization term, and a specification of encoding noise. Here, we examine how the receptive field, the normalization factor, and the encoding noise affect the drive to model-neuron responses when stimulated with natural images. We show that when these components are modeled appropriately, the response drives elicited by natural stimuli are Gaussian-distributed and scale invariant, and very nearly maximize the sensitivity (d') for natural-image discrimination. We discuss the statistical models of natural stimuli that can account for these response statistics, and we show how some commonly used modeling practices may distort these results. Finally, we show that n

SUBMITTER: Iyer A 

PROVIDER: S-EPMC6833984 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature