A Generalization of the Equal Coding Theorem

Abstract

We reformulate the Equal Coding Theorem in sensory neural encoding with ON- and OFF-neurons as a channel capacity problem. We then present a capacity-based proof of the Equal Coding Theorem, and generalize it to neurons with different firing probabilities. We also briefly discuss the biological implications of this generalization.