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bioRxiv · 10.1101/380048

Explaining Visual Cortex Phenomena using Recursive Cortical Network

Lavin, A.·Guntupalli, J. S.·Lazaro-Gredilla, M.·Lehrach, W.·George, D.
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Abstract

The connectivity and information pathways of visual cortex are well studied, as are observed physiological phenomena, yet a cohesive model for explaining visual cortex processes remains an open problem. For a comprehensive understanding, we need to build models of the visual cortex that are capable of robust real-world performance, while also being able to explain psychophysical and physiological observations. To this end, we demonstrate how the Recursive Cortical Network (George et al., 2017) can be used as a computational model to reproduce and explain subjective contours, neon color spreading, occlusion vs. deletion, and the border-ownership competition phenomena observed in the visual cortex.

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Lavin, A., Guntupalli, J. S., Lazaro-Gredilla, M., Lehrach, W., George, D.. 2018-07-30. Explaining Visual Cortex Phenomena using Recursive Cortical Network. https://doi.org/10.1101/380048

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