神经编码的信息熵表达研究进展

Research development in informatics entropy of neural coding

神经编码的研究是近年来脑功能研究领域的热点,应用信息熵的方法表达神经编码是该领域研究的重要方向之一。介绍了神经元放电序列的几类熵编码方法:二值串方法、直接方法、渐近线无偏估计方法、神经元放电间隔分析和互信息方法,对以上方法的基本原理和应用进行了综述。

With the development of brain research, study of neural coding has attracted more attention. Neural coding by informatics entropy is a very important aspect in the research field. This paper presents an overview of typical entropy coding methods of neuronal spike train including binary string method, direct method, asymptotically unbiased estimator method, inter-spike interval and mutual information method. Related principles and application are reviwed.