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Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps

By Mr. Tal Tversky and Dr. Risto Miikkulainen


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

Topics: Computational Neuroscience, Neural Nets
Year: 2002
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