TCB Publications - Abstract

TCB Publications - Abstract

Christian Kurrer, Benno Nieswand, and Klaus Schulten. Dynamics of synchronous neural activity in the visual cortex. In Teuvo Kohonen, Kai Mäkisara, Olli Simula, and Jari Kangas, editors, Artificial Neural Networks, pp. 133-138. Elsevier, Amsterdam, 1991.

KURR91A Recent experiments by Singer et al. have shown synchronous firing activity in the visual cortex of cat among neurons coding similar features. The observations suggest that synchronization may be an important coding principle for information processing in the brain. We have earlier proposed a mechanism for the synchronous neural activity based on a dynamical description of single neurons as excitable elements with stochastic activity. Such weakly coupled neurons can readily develop synchronous firing when subject to coherent excitation, and, thereby, can segment images (figure-ground). In this contribution, we provide further simulations and an analysis of the model and discuss processing capabilities made possible through synchronous neural activity.

Download Full Text

The manuscripts available on our site are provided for your personal use only and may not be retransmitted or redistributed without written permissions from the paper's publisher and author. You may not upload any of this site's material to any public server, on-line service, network, or bulletin board without prior written permission from the publisher and author. You may not make copies for any commercial purpose. Reproduction or storage of materials retrieved from this web site is subject to the U.S. Copyright Act of 1976, Title 17 U.S.C.

Download full text: PDF (248.8KB)