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Open AccessEditorial

Information Theory in Neuroscience

1
Computational Neuroscience Initiative and Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
2
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.
Entropy 2019, 21(1), 62; https://doi.org/10.3390/e21010062
Received: 26 December 2018 / Accepted: 9 January 2019 / Published: 14 January 2019
(This article belongs to the Special Issue Information Theory in Neuroscience)
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
MDPI and ACS Style

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

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