TCB Publications - Abstract

Christian Kurrer, Benno Nieswand, and Klaus Schulten. A model for synchronous activity in the visual cortex. In A. Babloyantz, editor, Self-Organization, Emergent Properties, and Learning, volume 260 of NATO Science Series B: Physics, pp. 81-95. Plenum Press, New York, 1991.

KURR91B We investigated the problem of figure-ground separation or binding problem of image processing in the brain. Recent experiments by Singer et al. have shown in the visual cortex of cat synchronous firing activity among neurons coding similar features. The observations suggest that synchronization may be an important coding principle for information processing in the brain. The investigations reported here are based on a dynamical description of single neurons as excitable elements with stochastic activity. We demonstrate that sets of weakly coupled neurons of this type can readily develop synchronous activity when subject to coherent excitation. We provide a mathematical analysis of the dynamical model chosen as well as present numerical simulations illustrating how synchronous firing can be used in the visual cortex to segment images.

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