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"Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps"^^
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"Using a delay adaptation learning rule, we model the activity-dependent development of directionally selective cells in the primary visual cortex. Based on input stimuli, a learning rule shifts delays to create synchronous arrival of spikes at cortical cells. As a result, delays become tuned creating a smooth cortical map of direction selectivity. This result demonstrates how delay adaption can serve as a powerful abstraction for modeling temporal learning in the brain. \n"^^
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"2002" .
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"Computational Neuroscience: Trends in Research"^^
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"Tal"^^
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"Tversky"^^
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"Tal Tversky"^^
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"Risto"^^
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"Miikkulainen"^^
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"Risto Miikkulainen"^^
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"J. M."^^
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"Bower"^^
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"J. M. Bower"^^
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"Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps (PDF)"^^
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"tversky.cns01.pdf"^^
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"Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps (Image (PNG))"^^
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"preview.png"^^
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"Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps (Indexer Terms)"^^
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"indexcodes.txt"^^
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"HTML Summary of #2431 \n\nModeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps\n\n" .
"text/html" .
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"Computational Neuroscience" .
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"Neural Nets" .
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