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Titolo:
Self-organization of local cortical circuits and cortical orientation maps: A nonlinear hebbian model of the visual cortex with adaptive lateral couplings
Autore:
Burger, T; Lang, EWG;
Indirizzi:
Univ Regensburg, Inst Biophys, D-93040 Regensburg, Germany Univ Regensburg Regensburg Germany D-93040 , D-93040 Regensburg, Germany
Titolo Testata:
ZEITSCHRIFT FUR NATURFORSCHUNG C-A JOURNAL OF BIOSCIENCES
fascicolo: 5-6, volume: 56, anno: 2001,
pagine: 464 - 478
SICI:
0939-5075(200105/06)56:5-6<464:SOLCCA>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
OCULAR DOMINANCE COLUMNS; MONKEY STRIATE CORTEX; OFF-CENTER INPUTS; RECEPTIVE-FIELDS; NEURONAL-ACTIVITY; GANGLION-CELLS; NEURAL-NETWORK; CAT; SELECTIVITY; PATTERNS;
Keywords:
self-organisation; local cortical circuits; nonlinear hebbian learning;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
58
Recensione:
Indirizzi per estratti:
Indirizzo: Lang, EWG Univ Regensburg, Inst Biophys, D-93040 Regensburg, Germany Univ Regensburg Regensburg Germany D-93040 Regensburg, Germany
Citazione:
T. Burger e E.W.G. Lang, "Self-organization of local cortical circuits and cortical orientation maps: A nonlinear hebbian model of the visual cortex with adaptive lateral couplings", Z NATURFO C, 56(5-6), 2001, pp. 464-478

Abstract

A nonlinear. recurrent neural network model of the visual cortex is presented. Orientation maps emerge from adaptable afferent as well as plastic local intracortical circuits driven by random input stimuli. Lateral coupling structures self-organize into DOG profiles under the influence of pronounced emerging cortical activity blobs. The model's simplified architecture andfeatures are modeled to largely mimik neurobiological findings.

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Documento generato il 24/01/20 alle ore 13:15:58