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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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| Published in: | Biological cybernetics 2000, Vol.82 (2), p.97-110 |
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| Main Authors: | , , |
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| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c443t-fb3152ffeae48b1f5f732fb4d424b57d71691612d96acabe58611326a736a7743 |
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| container_end_page | 110 |
| container_issue | 2 |
| container_start_page | 97 |
| container_title | Biological cybernetics |
| container_volume | 82 |
| creator | Wiemer, J Burwick, T von Seelen, W |
| description | 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. |
| doi_str_mv | 10.1007/pl00007968 |
| format | article |
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Academic</collection><jtitle>Biological cybernetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wiemer, J</au><au>Burwick, T</au><au>von Seelen, W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Self-organizing maps for visual feature representation based on natural binocular stimuli</atitle><jtitle>Biological cybernetics</jtitle><addtitle>Biol Cybern</addtitle><date>2000</date><risdate>2000</risdate><volume>82</volume><issue>2</issue><spage>97</spage><epage>110</epage><pages>97-110</pages><issn>0340-1200</issn><eissn>1432-0770</eissn><abstract>We model the stimulus-induced development of the topography of the primary visual cortex. 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| ispartof | Biological cybernetics, 2000, Vol.82 (2), p.97-110 |
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| 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 |
| title | Self-organizing maps for visual feature representation based on natural binocular stimuli |
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