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This article is part of the supplement: Nineteenth Annual Computational Neuroscience Meeting: CNS*2010

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Sparse coding models demonstrate some non-classical receptive field effects

Mengchen Zhu1* and Christopher J Rozell2

Author Affiliations

1 Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

2 Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

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BMC Neuroscience 2010, 11(Suppl 1):O21  doi:10.1186/1471-2202-11-S1-O21

The electronic version of this article is the complete one and can be found online at:

Published:20 July 2010

© 2010 Zhu and Rozell; licensee BioMed Central Ltd.

Oral presentation

Non-classical receptive field (nCRF) effects include several response properties in V1 neurons not explained by a linear-nonlinear (LN) receptive field model, but instead requiring significant interactions between V1 neurons. Using a sparse coding model [1,2] and bar and grating stimuli, simulated physiology experiments were carried out that replicated several nCRF phenomena reported previously in neurophysiology experiments. These include: end-stopping [3] (Fig. 1), contrast invariance of orientation tuning [4] (Fig. 2), radius, orientation, and contrast tunings of surround suppression [5,6] (Fig. 3, 4, 5). The results suggest that a sparse coding model can explain many of the nonlinear effects in V1 cells, and is therefore a reasonable candidate for a functional model of striate cortex.

thumbnailFigure 1. End-stopping. Comparison with a LN model.

thumbnailFigure 2. Contrast invariance of orientation tuning.

thumbnailFigure 3. Surround suppression at different contrasts.

thumbnailFigure 4. Orientation tuning of surround suppression.

thumbnailFigure 5. Surround orientation influences contrast tuning.


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