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A Neural Network Model for the Emergence of Grating Cells
Citation key Brunner1998
Author Brunner, K. and Kussinger, M. and Stetter, M. and Lang E.W.
Pages 389 – 397
Year 1998
ISSN 0340-1200
DOI 10.1007/s004220050443
Journal Biological Cybernetics
Volume 78
Number 5
Publisher Springer-Verlag
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.
Link to original publication [1] Download Bibtex entry [2]
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