Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps

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Abstract

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.

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• Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps. (deposited 23 Aug 2002)
  • Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps. (deposited 27 Aug 2002) [Currently Displayed]