Probabilistic Interpretation of Population Codes
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.
Cite
Text
Zemel et al. "Probabilistic Interpretation of Population Codes." Neural Information Processing Systems, 1996.Markdown
[Zemel et al. "Probabilistic Interpretation of Population Codes." Neural Information Processing Systems, 1996.](https://mlanthology.org/neurips/1996/zemel1996neurips-probabilistic/)BibTeX
@inproceedings{zemel1996neurips-probabilistic,
title = {{Probabilistic Interpretation of Population Codes}},
author = {Zemel, Richard S. and Dayan, Peter and Pouget, Alexandre},
booktitle = {Neural Information Processing Systems},
year = {1996},
pages = {676-684},
url = {https://mlanthology.org/neurips/1996/zemel1996neurips-probabilistic/}
}