A neural network model for the emergence of grating cells

Brunner, K. and Kussinger, M. and Stetter, M. and Lang, Elmar W. (1998) A neural network model for the emergence of grating cells. BIOLOGICAL CYBERNETICS, 78 (5). pp. 389-397. ISSN 0340-1200

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Abstract

A correlation-based learning (CBL) neural network model is proposed, which simulates the emergence of grating cells as well as some of their response characteristics to periodic pattern stimuli. These cells, found in areas V1 and V2 of the visual cortex of monkeys, respond vigorously and exclusively to bar gratings of a preferred orientation and periodicity. Their non-linear behaviour differentiates grating cells from other orientation-selective cells, which show linear spatial frequency filtering.

Item Type: Article
Uncontrolled Keywords: MONKEY STRIATE CORTEX; PATTERN-SELECTIVE CELLS; ORIENTATION SELECTIVITY; ORDERED ARRANGEMENT; OCULAR DOMINANCE; RECEPTIVE-FIELDS; VISUAL-CORTEX; COLUMNS; PREFERENCE
Subjects: 500 Science > 570 Life sciences
Divisions: Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Depositing User: Dr. Gernot Deinzer
Date Deposited: 24 Feb 2023 08:48
Last Modified: 24 Feb 2023 08:48
URI: https://pred.uni-regensburg.de/id/eprint/49827

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