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Cerebral Cortex Advance Access originally published online on December 22, 2004
Cerebral Cortex 2005 15(8):1222-1233; doi:10.1093/cercor/bhi004
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© Oxford University Press 2005; all rights reserved

A Computational Model for the Development of Multiple Maps in Primary Visual Cortex

Miguel Á. Carreira-Perpiñán1,2, Richard J. Lister1 and Geoffrey J. Goodhill1

1 Department of Neuroscience, Georgetown University Medical Center, Washington, DC 20007, USA, 2 Present address: Department of Computer Science and Electrical Engineering, OGI School of Science and Engineering, Oregon Health and Science University, Beaverton, OR 97006, USA

Address correspondence to Geoffrey J. Goodhill, Department of Neuroscience, Georgetown University Medical Center, Washington, DC 20007, USA.

Primary visual cortex contains multiple maps of features of the visual scene, including visual field position, orientation, direction, ocular dominance and spatial frequency. The complex relationships between these maps provide clues to the strategies the cortex uses for representing and processing information. Here we simulate the combined development of all these map systems using a computational model, the elastic net. We show that this model robustly produces combined maps of these four variables that bear a close resemblance to experimental maps. In addition we show that the experimentally observed effects of monocular deprivation and single-orientation rearing can be reproduced in this model, and we make some testable predictions. These results provide strong support for the hypothesis that cortical representations attempt to optimize a trade-off between coverage and continuity.

Key Words: computational model • ocular dominance map • orientation map • visual cortex


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