Probabilistic Interpretation of Population Codes.

Rich Zemel   Peter Dayan   Alex Pouget
In NIPS 9, 676-682.


Abstract

We present a theoretical framework for population codes which generalizes naturally to the important case where the population provides information about a whole probability distribution over an underlying quantity rather than just a single value. We use the framework to analyze two existing models, and to suggest and evaluate a third model for encoding such probability distributions.
superseded by Zemel, Dayan & Pouget (1998).

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