---
abstract: "A model is proposed to demonstrate how neurons in the primary visual cortex could self-organize to represent the direction of motion. The model is based on a temporal extension of the Self-Organizing Map where neurons act as leaky integrators. The map is trained with moving Gaussian inputs, and it develops a retinotopic map with orientation columns that divide into areas of opposite direction selectivity, as found in the visual cortex.\n\n"
altloc:
- http://www.richmond.edu/~ifarkas/Papers/icann99.ps.gz
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conference: International Conference on Artificial Neural Networks
confloc: 'Edinburgh, Scotland'
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creators_id: []
creators_name:
- family: Farkas
given: Igor
honourific: ''
lineage: ''
- family: Miikkulainen
given: Risto
honourific: ''
lineage: ''
date: 1999
date_type: published
datestamp: 2001-11-23
department: ~
dir: disk0/00/00/19/13
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eprint_status: archive
eprintid: 1913
fileinfo: /style/images/fileicons/application_postscript.png;/1913/1/icann99.ps.gz
full_text_status: public
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keywords: 'directional selectivity, self-organzing map, leaky intergators, primary visual cortex'
lastmod: 2011-03-11 08:54:49
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metadata_visibility: show
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pagerange: 251-256
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reportno: ~
rev_number: 8
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status_changed: 2007-09-12 16:41:41
subjects:
- comp-sci-neural-nets
- neuro-mod
succeeds: ~
suggestions: ~
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thesistype: ~
title: Modeling the self-organization of directional selectivity in the primary visual cortex
type: confpaper
userid: 2419
volume: ~