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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. \n"
altloc:
- http://www.cs.utexas.edu/users/nn/pages/publications/abstracts.html#tversky.cns01.ps.gz
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creators_id:
- taltversky
- ''
creators_name:
- family: Tversky
given: Tal
honourific: ''
lineage: ''
- family: Miikkulainen
given: Risto
honourific: Dr.
lineage: ''
date: 2002
date_type: published
datestamp: 2002-08-27
department: ~
dir: disk0/00/00/24/31
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editors_id: []
editors_name:
- family: Bower
given: J. M.
honourific: Dr.
lineage: ''
eprint_status: archive
eprintid: 2431
fileinfo: /style/images/fileicons/application_pdf.png;/2431/1/tversky.cns01.pdf
full_text_status: public
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ispublished: inpress
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keywords: 'self-organization, delay adaptation, direction selectivity, cortical maps, cortical development, visual cortex'
lastmod: 2011-03-11 08:54:59
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: ~
pubdom: FALSE
publication: 'Computational Neuroscience: Trends in Research'
publisher: ~
refereed: FALSE
referencetext: ~
relation_type: []
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reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:44:47
subjects:
- comp-neuro-sci
- comp-sci-neural-nets
succeeds: 2422
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thesistype: ~
title: Modeling Directional Selectivity Using Self-Organizing Delay-Aadaptation Maps
type: journalp
userid: 3365
volume: ~