Network connections that evolve to circumvent the inverse optics problem.

Journal Article (Journal Article)

A fundamental problem in vision science is how useful perceptions and behaviors arise in the absence of information about the physical sources of retinal stimuli (the inverse optics problem). Psychophysical studies show that human observers contend with this problem by using the frequency of occurrence of stimulus patterns in cumulative experience to generate percepts. To begin to understand the neural mechanisms underlying this strategy, we examined the connectivity of simple neural networks evolved to respond according to the cumulative rank of stimulus luminance values. Evolved similarities with the connectivity of early level visual neurons suggests that biological visual circuitry uses the same mechanisms as a means of creating useful perceptions and behaviors without information about the real world.

Full Text

Duke Authors

Cited Authors

  • Ng, C; Sundararajan, J; Hogan, M; Purves, D

Published Date

  • January 2013

Published In

Volume / Issue

  • 8 / 3

Start / End Page

  • e60490 -

PubMed ID

  • 23555981

Pubmed Central ID

  • PMC3608599

Electronic International Standard Serial Number (EISSN)

  • 1932-6203

International Standard Serial Number (ISSN)

  • 1932-6203

Digital Object Identifier (DOI)

  • 10.1371/journal.pone.0060490


  • eng