Self-organizing maps for visual feature representation based on natural binocular stimuli |
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Authors: | J Wiemer T Burwick W von Seelen |
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Institution: | Institut für Neuroinformatik, Ruhr-Universit?t Bochum, 44780 Bochum, Germany, DE
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Abstract: | We model the stimulus-induced development of the topography of the primary visual cortex. The analysis uses a self-organizing
Kohonen model based on high-dimensional coding. It allows us to obtain an arbitrary number of feature maps by defining different
operators. Using natural binocular stimuli, we concentrate on discussing the orientation, ocular dominance, and disparity
maps. We obtain orientation and ocular dominance maps that agree with essential aspects of biological findings. In contrast
to orientation and ocular dominance, not much is known about the cortical representation of disparity. As a result of numerical
simulations, we predict substructures of orientation and ocular dominance maps that correspond to disparity maps. In regions
of constant orientation, we find a wide range of horizontal disparities to be represented. This points to geometrical relations
between orientation, ocular dominance, and disparity maps that might be tested in experiments.
Received: 9 July 1998 / Accepted in revised form: 2 June 1999 |
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