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Development and Spatial Structure of Cortical Feature Maps: a Model Study
Citation key Obermayer1991b
Author Obermayer, K. and Ritter, H. and Schulten, K.
Title of Book Advances in Neural Information Processing Systems
Pages 11 – 17
Year 1991
Volume 3
Editor Touretzky, D.S. and Lippman, R.
Publisher Morgan Kaufmann Publishers
Abstract Feature selective cells in the primary visual cortex of several species are organized in hierarchical topographic maps of stimulus features like "position in visual space", "orientation" and" ocular dominance". In order to understand and describe their spatial structure and their development, we investigate a self-organizing neural network model based on the feature map algorithm. The model explains map formation as a dimension-reducing mapping from a high-dimensional feature space onto a two-dimensional lattice, such that "similarity" between features (or feature combinations) is translated into "spatial proximity" between the corresponding feature selective cells. The model is able to reproduce several aspects of the spatial structure of cortical maps in the visual cortex.
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