Corticonics: the way to designing machines with brainlike intelligence

Nabil H. Farhat

doi:10.1117/12.409209

17 November 2000 Corticonics: the way to designing machines with brainlike intelligence

Nabil H. Farhat

Proceedings Volume 4109, Critical Technologies for the Future of Computing; (2000) https://doi.org/10.1117/12.409209
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Present day neural net and connectionist models of the cortex have not been effective in duplicating higher-level brain function and specially the ability of the cortex/brain to process dynamic input patterns. Using mathematics quite- different from that used in the transfer-function and stimulus-response approach to collective nonlinear processing used in conventional networks, we describe here progress with a novel approach to modeling the cortex that combines concepts and tools from nonlinear dynamics and information theory that offers a radically new way to process, classify/learn and recognize spatio-temporal signals.

Citation Download Citation

Nabil H. Farhat "Corticonics: the way to designing machines with brainlike intelligence", Proc. SPIE 4109, Critical Technologies for the Future of Computing, (17 November 2000); https://doi.org/10.1117/12.409209

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