Jump to content

Normalization model

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by D.valued (talk | contribs) at 03:02, 11 December 2005. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

The normalization model is an influential model of responses of neurons in primary visual cortex, developed by David Heeger in the early 1990s. The model involves a divisive stage. In the numerator is the output of the classical receptive field. In the denominator, a constant plus a measure of local stimulus contrast.