Normalization model
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The normalization model is an influential model of responses of neurons in primary visual cortex. David Heeger developed the model in the early 1990s[1], and later refined it together with Matteo Carandini and J Anthony Movshon[2]. 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.
[edit] References
- ^ Heeger, D. J. (1992). "Normalization of cell responses in cat striate cortex". Visual neuroscience 9 (2): 181–197. doi:10.1017/S0952523800009640. PMID 1504027.
- ^ Carandini, M; Heeger, DJ; Movshon, JA (1997). "Linearity and normalization in simple cells of the macaque primary visual cortex". Journal of Neuroscience 17 (21): 8621–44. PMID 9334433.
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