Research development in informatics entropy of neural coding
Qiang Guo · Guoji shengwu yixue gongcheng zazhi · 2006
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.