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Development and Spatial Structure of Cortical Feature Maps: a Model Study
Zitatschlüssel Obermayer1991b
Autor Obermayer, K. and Ritter, H. and Schulten, K.
Buchtitel Advances in Neural Information Processing Systems
Seiten 11 – 17
Jahr 1991
Jahrgang 3
Herausgeber Touretzky, D.S. and Lippman, R.
Verlag Morgan Kaufmann Publishers
Zusammenfassung 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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