Part of Advances in Neural Information Processing Systems 9 (NIPS 1996)
Richard Zemel, Peter Dayan, Alexandre Pouget
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.