Journal
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
Volume 26, Issue 2, Pages 271-287Publisher
SPRINGER
DOI: 10.1007/s10827-008-0110-x
Keywords
Spatial frequency selectivity; Large-scale neuronal network; Feedforward input; Cortical excitation; Cortical inhibition; Simple/complex cells
Funding
- Swartz Foundation
- National Eye Institute [R01EY-01472, T32EY-07158]
- NATIONAL EYE INSTITUTE [T32EY007158, R01EY001472] Funding Source: NIH RePORTER
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We address how spatial frequency selectivity arises in Macaque primary visual cortex (V1) by simulating V1 with a large-scale network model consisting of O(10(4)) excitatory and inhibitory integrate-and-fire neurons with realistic synaptic conductances. The new model introduces variability of the widths of subregions in V1 neuron receptive fields. As a consequence different model V1 neurons prefer different spatial frequencies. The model cortex has distributions of spatial frequency selectivity and of preference that resemble experimental findings from the real V1. Two main sources of spatial frequency selectivity in the model are the spatial arrangement of feedforward excitation, and cortical nonlinear suppression, a result of cortical inhibition.
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