Information loss in an optimal maximum likelihood decoding
生物物理
2007-05-23 v1 无序系统与神经网络
数据分析、统计与概率
定量方法
摘要
The mutual information between a set of stimuli and the elicited neural responses is compared to the corresponding decoded information. The decoding procedure is presented as an artificial distortion of the joint probabilities between stimuli and responses. The information loss is quantified. Whenever the probabilities are only slightly distorted, the information loss is shown to be quadratic in the distortion
引用
@article{arxiv.physics/0110074,
title = {Information loss in an optimal maximum likelihood decoding},
author = {Ines Samengo},
journal= {arXiv preprint arXiv:physics/0110074},
year = {2007}
}
备注
5 pages, no figures, to be published in Neural Computation