Probabilistic Interpretation of Population Codes

Richard S. Zemel, Peter Dayan, Alexandre Pouget

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.