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Information Theory in Neuroscience II

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 335

Special Issue Editors


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Guest Editor
Department of Excellence for Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
Interests: neural population coding; information theory; neural information transmission; computational neuroscience
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Excellence for Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), 20251 Hamburg, Germany
Interests: information theory; pattern information analysis; cognitive computational neuroscience; representational similarity analysis; functional connectivity

Special Issue Information

Dear Colleagues,

As the ultimate information-processing system, the brain naturally lends itself to be studied with information theory. The application of information theory to neuroscience has spurred the development of principled theories of brain function, led to advances in the study of consciousness and to the development of analytical techniques to crack the neural code, that is, to unveil the language used by neurons to encode and process information. In particular, advances in experimental techniques enabling precise recording and manipulation of neural activity on a large scale now enable, for the first time, the precise formulation and quantitative testing of hypotheses about how the brain encodes and transmits across areas the information used for specific functions.

This Special Issue emphasizes contributions from both theoretical and applied perspectives, introducing novel approaches in neuroscience using information theory, and explores new information-theoretic results inspired by problems in neuroscience. Research exploring the interface of neuroscience, information theory and other disciplines is also welcome.

Prof. Dr. Stefano Panzeri
Dr. Hamed Nili
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • population coding
  • redundancy
  • synergy
  • efficient coding
  • transfer entropy
  • integrated information theory
  • neural decoders
  • partial information decomposition
  • information processing in neural network models

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