creators_name: Tversky, Tal
creators_name: Miikkulainen, Risto
creators_id: taltversky
creators_id: 
editors_name: Bower, J. M.
type: journalp
datestamp: 2002-08-23
lastmod: 2011-03-11 08:54:59
metadata_visibility: show
title: Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps
ispublished: inpress
subjects: comp-neuro-sci
subjects: comp-sci-neural-nets
full_text_status: public
keywords: self-organization, delay adaptation, direction selectivity, cortical maps, cortical development, visual cortex
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. 

date: 2002
date_type: published
publication: Computational Neuroscience: Trends in Research
refereed: FALSE
citation:   Tversky, Mr. Tal and Miikkulainen, Dr. Risto  (2002) Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps.  [Journal (Paginated)]    (In Press)  
document_url: http://cogprints.org/2422/1/tversky.cns01.pdf