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Neural field model of binocular rivalry waves
2011
Journal of Computational Neuroscience
We present a neural field model of binocular rivalry waves in visual cortex. For each eye we consider a one-dimensional network of neurons that respond maximally to a particular feature of the corresponding image such as the orientation of a grating stimulus. Recurrent connections within each one-dimensional network are assumed to be excitatory, whereas connections between the two networks are inhibitory (cross-inhibition). Slow adaptation is incorporated into the model by taking the network
doi:10.1007/s10827-011-0351-y
pmid:21748526
fatcat:tsy53ybbm5b4tnsmbkzjngkkpq