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Cortical connections and parallel processing: Structure and function

Published online by Cambridge University Press:  04 February 2010

Dana H. Ballard
Dana H. Ballard
Affiliation:
Computer Science Department, University of Rochester, Rochester, N.Y. 14627
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Abstract

The cerebral cortex is a rich and diverse structure that is the basis of intelligent behavior. One of the deepest mysteries of the function of cortex is that neural processing times are only about one hundred times as fast as the fastest response times for complex behavior. At the very least, this would seem to indicate that the cortex does massive amounts of parallel computation.

This paper explores the hypothesis that an important part of the cortex can be modeled as a connectionist computer that is especially suited for parallel problem solving. The connectionist computer uses a special representation, termed value unit encoding, that represents small subsets of parameters in a way that allows parallel access to many different parameter values. This computer can be thought of as computing hierarchies of sensorimotor invariants. The neural substrate can be interpreted as a commitment to data structures and algorithms that compute invariants fast enough to explain the behavioral response times. A detailed consideration of this model has several implications for the underlying anatomy and physiology.

Keywords

abstractioncomputationconnectionismcortexcortical columnsinvariantsneural modelingparallel processingperceptionvision

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Target article
Information
Behavioral and Brain Sciences , Volume 9 , Issue 1 , March 1986 , pp. 67 - 90
Copyright
Copyright © Cambridge University Press 1986

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