Self-organizing maps for visual feature representation based on natural binocular stimuli

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, w...

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Bibliographic Details
Published in:Biological cybernetics 2000, Vol.82 (2), p.97-110
Main Authors: Wiemer, J, Burwick, T, von Seelen, W
Format: Article
Language:English
Subjects:
Algorithms
Animals
Binoculars
Biological
Brain Mapping
Computer Simulation
Cybernetics
Differential Threshold - physiology
Dominance
Dominance, Cerebral - physiology
Eyes & eyesight
Mathematical models
Mathematics
Models, Neurological
Neurology
Neuronal Plasticity
Neurons - physiology
Orientation
Pattern Recognition, Visual - physiology
Photic Stimulation
Representations
Retina - physiology
Simulation
Stimuli
Vision, Binocular - physiology
Visual Cortex - cytology
Visual Cortex - growth & development
Visual Cortex - physiology
Visual Fields - physiology
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Summary: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.
ISSN:0340-1200
1432-0770
DOI:10.1007/pl00007968