Markov dependency based on Shannon's entropy and its application to neural spike trains-Reference-Cited by-同舟云学术

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Markov dependency based on Shannon's entropy and its application to neural spike trains

Published:1983-09 Issue:5 Volume:SMC-13 Page:692-701
ISSN:0018-9472
Container-title:IEEE Transactions on Systems, Man, and Cybernetics
language:
Short-container-title:IEEE Trans. Syst., Man, Cybern.

Author:

Nakahama Hiroshi,Yamamoto Mitsuaki,Aya Kojiro,Shima Keisetsu,Fujii Hisashi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering

Link

http://xplorestaging.ieee.org/ielx5/21/6313056/06313062.pdf?arnumber=6313062

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Information Content in Neuronal Calcium Spike Trains: Entropy Rate Estimation based on Empirical Probabilities;2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES);2021-03-01

2. Information-Theoretical Analysis of Small Neuronal Networks;Modern Techniques in Neuroscience Research;1999

3. A cross-interval spike train analysis: the correlation between spike generation and temporal integration of doublets;Biological Cybernetics;1998-02-01

4. Information theoretic analysis of action potential trains;Biological Cybernetics;1993-01

5. Periaqueductal gray spike trains recorded in frontal or horizontal mesencephalic brain slices from the rat;Neuroscience Letters;1991-01

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