http://cogprints.org/2422/
Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps
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.
Tversky, Mr. Tal
Miikkulainen, Dr. Risto
Computational Neuroscience
Neural Nets
Tal
Tversky
Risto
Miikkulainen