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Journal of Computational Neuroscience

Erschienen in:

01.04.2009

A neuronal network model of primary visual cortex explains spatial frequency selectivity

verfasst von: Wei Zhu, Michael Shelley, Robert Shapley

Erschienen in: Journal of Computational Neuroscience | Ausgabe 2/2009

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Abstract

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(10⁴) 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.

Vorheriger Artikel Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal

Nächster Artikel The effects of cholinergic neuromodulation on neuronal phase-response curves of modeled cortical neurons

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Titel: A neuronal network model of primary visual cortex explains spatial frequency selectivity
verfasst von: Wei Zhu
Michael Shelley
Robert Shapley
Publikationsdatum: 01.04.2009
Verlag: Springer US
Erschienen in: Journal of Computational Neuroscience / Ausgabe 2/2009
Print ISSN: 0929-5313
Elektronische ISSN: 1573-6873
DOI: https://doi.org/10.1007/s10827-008-0110-x

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