Zemel, RS and Dayan, P and 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 |
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