Dear Colleagues,

The relationship between entropy and the human brain represents a potential challenge in cutting-edge scientific research. The understanding of the complex behavior of the human brain is governed by the dynamics of intricate nonlinear neural networks. We note that, in an isolated system, entropy does not decrease according to the second law of thermodynamics. To better understand the structure and function of the human brain, entropy is a paramount quantitative and qualitative tool explaining the intrinsic properties of the system. The nonlinearity is a crucial issue to unravel the complexity of the brain and its function. Theoretical and operational methods combined with network analysis are strongly interrelated.

This Special Issue, “Entropy for the Brain and Applied Computations” aims at exploring the entropy-based novel approaches focused on disentangling, analysing and modelling complex human brain networks and transmission and processing of information. For instance, computational entropy has been used for cryptographic primitives, cryptographic algorithms used to implement cryptographic protocols for computer security systems. Generally, computations use hundreds of data points that require high-cost computations. However, the vectors with dissimilarity (VDS) method enables most vectors to be excluded from distance calculations due to their dissimilarity using VDS pre-identification. In other words, VDS allows a reduction in the computation time of the entropy of the sample in random signals and electroencephalogram signals. Therefore, during the computation, the measurements of entropy are accelerated by exploiting VDS methods used for biomedical informatics applications. Another form of computational entropy is pseudo-entropy, which relies on pseudorandom generators and is, in general, greater than the real entropy.

This Special Issue provides further insight into the role of the human brain relying on entropy using applied methods ubiquitous in physics, bio-physics, physical-chemistry, electronics, engineering and neuroscience. For instance, entropy in neuroscience has uncovered a great explanation of brain function. It is important to note that entropy provides promising results on the altered state of consciousness, aging brain, and quantification of information processing of the brain networks.

We welcome and encourage the submission of new original research papers, short communications, perspectives, review articles, reports, and mini-reports in the form of any of the article types eligible in Entropy journal.

Prof. Dr. Roberto Zivieri
Dr. Ambra Fioravanti
Dr. Israa Medlej
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.