A Self-Organizing Model of "Color Blob" Formation

Abstract

This paper explores the possibility that the formation of color blobs in primate striate cortex can be partly explained through the process of activity-based self-organization. We present a simulation of a highly simplified model of visual processing along the parvocellular pathway, that combines precortical color processing, excitatory and inhibitory cortical interactions, and Hebbian learning. The model self-organizes in response to natural color images and develops islands of unoriented, color-selective cells within a sea of contrast-sensitive, orientation-selective cells. By way of understanding this topography, a principal component analysis of the color inputs presented to the network reveals that the optimal linear coding of these inputs keeps color information and contrast information separate.

Cite

Text

Barrow et al. "A Self-Organizing Model of "Color Blob" Formation." Neural Computation, 1996. doi:10.1162/NECO.1996.8.7.1427

Markdown

[Barrow et al. "A Self-Organizing Model of "Color Blob" Formation." Neural Computation, 1996.](https://mlanthology.org/neco/1996/barrow1996neco-selforganizing/) doi:10.1162/NECO.1996.8.7.1427

BibTeX

@article{barrow1996neco-selforganizing,
  title     = {{A Self-Organizing Model of "Color Blob" Formation}},
  author    = {Barrow, Harry G. and Bray, Alistair J. and Budd, Julian M. L.},
  journal   = {Neural Computation},
  year      = {1996},
  pages     = {1427-1448},
  doi       = {10.1162/NECO.1996.8.7.1427},
  volume    = {8},
  url       = {https://mlanthology.org/neco/1996/barrow1996neco-selforganizing/}
}