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Probabilistic interpretation of population codes

Zemel, RS; Dayan, P; Pouget, A; (1997) Probabilistic interpretation of population codes. In: Mozer, MC and Jordan, MI and Petsche, T, (eds.) ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 9. (pp. 676 - 682). M I T PRESS

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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.

Type: Proceedings paper
Title: Probabilistic interpretation of population codes
Event: 10th Annual Conference on Neural Information Processing Systems (NIPS)
Location: DENVER, CO
Dates: 1996-12-02 - 1996-12-05
ISBN: 0-262-10065-7
UCL classification: UCL > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neuroscience Unit
URI: http://discovery.ucl.ac.uk/id/eprint/85068
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