Neuron. 2005 Mar 3;45(5):781-91.

Spatial structure of complex cell receptive fields measured with natural images.

Source

Group in Vision Science, School of Optometry, University of California, Berkeley, CA 94720, USA.

Abstract

Neuronal receptive fields (RFs) play crucial roles in visual processing. While the linear RFs of early neurons have been well studied, RFs of cortical complex cells are nonlinear and therefore difficult to characterize, especially in the context of natural stimuli. In this study, we used a nonlinear technique to compute the RFs of complex cells from their responses to natural images. We found that each RF is well described by a small number of subunits, which are oriented, localized, and bandpass. These subunits contribute to neuronal responses in a contrast-dependent, polarity-invariant manner, and they can largely predict the orientation and spatial frequency tuning of the cell. Although the RF structures measured with natural images were similar to those measured with random stimuli, natural images were more effective for driving complex cells, thus facilitating rapid identification of the subunits. The subunit RF model provides a useful basis for understanding cortical processing of natural stimuli.

PMID:: 15748852; [PubMed - indexed for MEDLINE]

Publication Types, MeSH Terms, Grant Support

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Grant Support

R01 EY12561/EY/NEI NIH HHS/United States

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CRCNS - Collaborative Research in Computational Neuroscience - Data sharing: Data from electrophysiology recordings: Extra-cellular recordings from the primary visual cortex of anesthetized adult cats. Visual stimuli were one-dimensional white noise (random bars) aligned to the preferred orientation of each cell and two-dimensional stimuli (natural images, natural phase, and random phase). - Neuroscience Information Framework

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