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Reviews, Novel Tools and Methods

A Tutorial for Information Theory in Neuroscience

Nicholas M. Timme and Christopher Lapish
eNeuro 29 June 2018, 5 (3) ENEURO.0052-18.2018; https://doi.org/10.1523/ENEURO.0052-18.2018
Nicholas M. Timme
Department of Psychology, Indiana University – Purdue University Indianapolis, 402 N. Blackford St, Indianapolis, IN 46202
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Christopher Lapish
Department of Psychology, Indiana University – Purdue University Indianapolis, 402 N. Blackford St, Indianapolis, IN 46202
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0052-18.2018
PubMed 
30211307
Published By 
Society for Neuroscience
History 
  • Received January 19, 2018
  • Revision received April 10, 2018
  • Accepted May 30, 2018
  • Published online June 29, 2018.
Copyright & Usage 
Copyright © 2018 Timme and Lapish This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Nicholas M. Timme and
  2. Christopher Lapish
  1. Department of Psychology, Indiana University – Purdue University Indianapolis, 402 N. Blackford St, Indianapolis, IN 46202
  1. Correspondence should be addressed to Nicholas Timme, Department of Psychology, Indiana University - Purdue University Indianapolis, 402 N. Blackford St., Indianapolis, IN 46202. E-mail: nicholas.m.timme{at}gmail.com.
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Author contributions

  1. Author contributions: NT and CL designed research; NT performed research; NT analyzed data; NT and CL wrote the paper.

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Disclosures

  • The authors declare no competing financial interests.

  • Funding sources: This work was supported by the National Institutes of Health grants AA022821 (CCL), AA023786 (CCL), P60-AA007611 (CCL), and T32 AA007462 (NMT).

Funding

  • HHS | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA)

    AA007462; AA022821; AA023786; P60-AA007611

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  • You are viewing the most recent version of this article.
  • previous version (June 29, 2018).

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Jun 201865027
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Jun 20203357190
Jul 20209350172
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May 202114377133
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Total 202110645911664
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Jul 20225377100
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Mar 202534582164
Apr 202536523138
May 202532713138
Jun 202531536126
Jul 202555683178
Aug 202562634187
Sep 202536663159
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Total 202554375661949
Jan 202652743165
Feb 202649704145
Mar 20262225480
Total 20261231701390
Total77263760115566
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eneuro: 5 (3)
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May/June 2018
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A Tutorial for Information Theory in Neuroscience
Nicholas M. Timme, Christopher Lapish
eNeuro 29 June 2018, 5 (3) ENEURO.0052-18.2018; DOI: 10.1523/ENEURO.0052-18.2018

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A Tutorial for Information Theory in Neuroscience
Nicholas M. Timme, Christopher Lapish
eNeuro 29 June 2018, 5 (3) ENEURO.0052-18.2018; DOI: 10.1523/ENEURO.0052-18.2018
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Keywords

  • Information flow
  • information theory
  • mutual information
  • neural computation
  • neural encoding
  • transfer entropy

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