Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0060490
Title: Network Connections That Evolve to Circumvent the Inverse Optics Problem
Authors: Ng, C. 
Sundararajan, J. 
Hogan, M. 
Purves, D. 
Issue Date: 26-Mar-2013
Citation: Ng, C., Sundararajan, J., Hogan, M., Purves, D. (2013-03-26). Network Connections That Evolve to Circumvent the Inverse Optics Problem. PLoS ONE 8 (3) : -. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0060490
Abstract: 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. © 2013 Ng et al.
Source Title: PLoS ONE
URI: http://scholarbank.nus.edu.sg/handle/10635/126524
ISSN: 19326203
DOI: 10.1371/journal.pone.0060490
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