Properties of artificial neurons that report lightness based on accumulated experience with luminance.

Journal Article

The responses of visual neurons in experimental animals have been extensively characterized. To ask whether these responses are consistent with a wholly empirical concept of visual perception, we optimized simple neural networks that responded according to the cumulative frequency of occurrence of local luminance patterns in retinal images. Based on this estimation of accumulated experience, the neuron responses showed classical center-surround receptive fields, luminance gain control and contrast gain control, the key properties of early level visual neurons determined in animal experiments. These results imply that a major purpose of pre-cortical neuronal circuitry is to contend with the inherently uncertain significance of luminance values in natural stimuli.

Full Text

Duke Authors

Cited Authors

  • Morgenstern, Y; Rukmini, DV; Monson, BB; Purves, D

Published Date

  • January 2014

Published In

Volume / Issue

  • 8 /

Start / End Page

  • 134 -

PubMed ID

  • 25404912

Electronic International Standard Serial Number (EISSN)

  • 1662-5188

International Standard Serial Number (ISSN)

  • 1662-5188

Digital Object Identifier (DOI)

  • 10.3389/fncom.2014.00134

Language

  • eng