title: Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps creator: Tversky, Tal creator: Miikkulainen, Dr. Risto subject: Computational Neuroscience subject: Neural Nets description: 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. contributor: Bower, Dr. J. M. date: 2002 type: Journal (Paginated) type: NonPeerReviewed format: application/pdf identifier: http://cogprints.org/2431/1/tversky.cns01.pdf identifier: Tversky, Tal and Miikkulainen, Dr. Risto (2002) Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps. [Journal (Paginated)] (In Press) relation: http://cogprints.org/2431/