2007 Special Issue: CODAM: A neural network model of consciousness

Authors:
J. G. Taylor
Affiliations:
Department of Mathematics, King's College, London, WC2R 2LS, UK
Venue:
Neural Networks
Year:
2007

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Abstract

We present a review of the CODAM neural network control model of consciousness and develop it to arrive at a functional account of consciousness. The main feature is as a speed-up and error-correcting mechanism known, in engineering control theory, to be efficient in improving the speed of response and accuracy of any control system. We use the CODAM model to generate a set of predictions as to how such speed-up is achieved, as well as relate to previous explanations by CODAM of various attention-based phenomena.