Open AccessProceedings Article
Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex
Joseph Sirosh,Risto Miikkulainen +1 more
- Vol. 7, pp 109-116
TLDR
The model shows how patterned lateral connections in the cortex may develop based on correlated activity and explains why lateral connection patterns follow receptive field properties such as ocular dominance.Abstract:
A neural network model for the self-organization of ocular dominance and lateral connections from binocular input is presented. The self-organizing process results in a network where (1) afferent weights of each neuron organize into smooth hill-shaped receptive fields primarily on one of the retinas, (2) neurons with common eye preference form connected, intertwined patches, and (3) lateral connections primarily link regions of the same eye preference. Similar self-organization of cortical structures has been observed experimentally in strabismic kittens. The model shows how patterned lateral connections in the cortex may develop based on correlated activity and explains why lateral connection patterns follow receptive field properties such as ocular dominance.read more
Citations
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Bibliography of Self-Organizing Map (SOM) Papers: 1981-1997
TL;DR: A comprehensive list of papers that use the Self-Organizing Map algorithms, have bene ted from them, or contain analyses of them is collected and provided both a thematic and a keyword index to help find articles of interest.
Book ChapterDOI
Modification of Kohonen's SOFM to Simulate Cortical Plasticity Induced by Coactivation Input Patterns
TL;DR: A modification of Kohonens SOFMin is presented to simulate cortical plasticity induced by coactivation patterns by introducing a probabilistic mode of stimulus presentation and substituting the winner-takes- all mechanism by selecting the winner from a set of best matching neurons.
Journal ArticleDOI
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex
TL;DR: RF-LISSOM, a self-organizing model of laterally connected orientation maps in the primary visual cortex, was used to study the psychological phenomenon known as the tilt aftereffect, providing detailed computational support for the long-standing conjecture that the direct tilt afterenffect arises from adaptive lateral interactions between feature detectors.
Journal ArticleDOI
Self-organization and functional role of lateral connections and multisize receptive fields in the primary visual cortex
Joseph Sirosh,Risto Mikkulainen +1 more
TL;DR: The simulations reported in this paper show how size selectivity could develop through Hebbian self-organization, and how receptive fields of different sizes could organize into columns like those for orientation and ocular dominance.
References
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Journal ArticleDOI
Self-organized formation of topologically correct feature maps
TL;DR: In this paper, the authors describe a self-organizing system in which the signal representations are automatically mapped onto a set of output responses in such a way that the responses acquire the same topological order as that of the primary events.
Journal ArticleDOI
Self-organization of orientation sensitive cells in the striata cortex
TL;DR: A nerve net model for the visual cortex of higher vertebrates is presented and a simple learning procedure is shown to be sufficient for the organization of some essential functional properties of single units.
Journal ArticleDOI
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Journal ArticleDOI
Columnar specificity of intrinsic horizontal and corticocortical connections in cat visual cortex
TL;DR: The extent of the horizontal connections, which allows single cells to integrate information over larger parts of the visual field than that covered by their receptive fields, and the functional specificity of the connections, suggests possible roles for these connections in visual processing.
Journal ArticleDOI
Ocular dominance column development: analysis and simulation
TL;DR: A mathematical model of several biological mechanisms that can account for ocular dominance segregation and the resulting patch width is presented and can be used to predict the results of proposed experiments and to discriminate among various mechanisms of plasticity.
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