Probabilistic Interpretation of Population Codes

Zemel, RS; Dayan, P; Pouget, A

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Probabilistic Interpretation of Population Codes

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https://papers.nips.cc/paper/1324-probabilistic-interpretation-of-population-codes.pdf
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Citation

Zemel, R., Dayan, P., & Pouget, A. (1997). Probabilistic Interpretation of Population Codes. In M. Mozer, M. Jordan, & T. Petsche (Eds.), Advances in Neural Information Processing Systems 9 (pp. 676-682). Cambridge, MA, USA: MIT Press.

Cite as: https://hdl.handle.net/21.11116/0000-0002-E313-8

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.