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Open AccessEditorial
Entropy 2019, 21(1), 62;

Information Theory in Neuroscience

Computational Neuroscience Initiative and Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, 38068 Rovereto (TN), Italy
Authors to whom correspondence should be addressed.
Received: 26 December 2018 / Accepted: 9 January 2019 / Published: 14 January 2019
(This article belongs to the Special Issue Information Theory in Neuroscience)
Full-Text   |   PDF [161 KB, uploaded 14 January 2019]


This is the Editorial article summarizing the scope and contents of the Special Issue, Information Theory in Neuroscience. View Full-Text
Keywords: information theory; neuroscience information theory; neuroscience
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Piasini, E.; Panzeri, S. Information Theory in Neuroscience. Entropy 2019, 21, 62.

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