MODEL OF THE NEURONAL NETWORK SIMULATING DETECTION OF SINGLE BARS ANDCROSS-LIKE FIGURES

Authors
SALTYKOV KA SHEVELEV IA
Citation
Ka. Saltykov et Ia. Shevelev, MODEL OF THE NEURONAL NETWORK SIMULATING DETECTION OF SINGLE BARS ANDCROSS-LIKE FIGURES, Zurnal vyssej nervnoj deatelnosti im. I.P. Pavlova, 48(3), 1998, pp. 524-533
Citations number
7
Categorie Soggetti
Physiology,Neurosciences
Journal title
Zurnal vyssej nervnoj deatelnosti im. I.P. Pavlova → ACNP
ISSN journal
00444677
Volume
48
Issue
3
Year of publication
1998
Pages
524 - 533
Database
ISI
SICI code
0044-4677(1998)48:3<524:MOTNNS>2.0.ZU;2-C
Abstract
The model of artificial neuronal network has been proposed, which dete cts not only single-bar orientation but also has selective sensitivity to cross-like figures. Properties of such ''detector of cross'' have been studied at the model constructed on the basis of convergence of e xcitatory connections with different weights from neurons with differe nt orientation tuning. It has been shown that the amplification mechan ism (reverberator) is necessary for the detector of cross with monomod al orientation tuning.