Baldi, Pierre and Meir, Ronny (1990) Computing with arrays of coupled oscillators: An application to preattentive texture discrimination. Neural Computation, 2 (4). pp. 458-471. ISSN 0899-7667. doi:10.1162/neco.1990.2.4.458. https://resolver.caltech.edu/CaltechAUTHORS:BALnc90
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Abstract
Recent experimental findings (Gray et al. 1989; Eckhorn et al. 1988) seem to indicate that rapid oscillations and phase-lockings of different populations of cortical neurons play an important role in neural computations. In particular, global stimulus properties could be reflected in the correlated firing of spatially distant cells. Here we describe how simple coupled oscillator networks can be used to model the data and to investigate whether useful tasks can be performed by oscillator architectures. A specific demonstration is given for the problem of preattentive texture discrimination. Texture images are convolved with different sets of Gabor filters feeding into several corresponding arrays of coupled oscillators. After a brief transient, the dynamic evolution in the arrays leads to a separation of the textures by a phase labeling mechanism. The importance of noise and of long range connections is briefly discussed.
Item Type: | Article | ||||||||||
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Additional Information: | © 1990 MIT Press. Received 18 April 90; accepted 3 August 90. This work is supported by a McDonnell-Pew Grant and ONR Contract NAS7-100/918 to P. B., ONR Grant N00014-87-K-0377 (J. J. Hopfield, P. I.), and a Weizmann Fellowship to R. M. | ||||||||||
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Issue or Number: | 4 | ||||||||||
DOI: | 10.1162/neco.1990.2.4.458 | ||||||||||
Record Number: | CaltechAUTHORS:BALnc90 | ||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:BALnc90 | ||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||
ID Code: | 13603 | ||||||||||
Collection: | CaltechAUTHORS | ||||||||||
Deposited By: | Tony Diaz | ||||||||||
Deposited On: | 11 May 2009 22:13 | ||||||||||
Last Modified: | 08 Nov 2021 22:39 |
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