Efficiency, information theory, and neural representations

Behavioral and Brain Sciences 23 (4):475-476 (2000)
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Abstract

We contend that if efficiency and reliability are important factors in neural information processing then distributed, not localist, representations are “evolution's best bet.” We note that distributed codes are the most efficient method for representing information, and that this efficiency minimizes metabolic costs, providing adaptive advantage to an organism.

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