Special Issue "Entropy and Irreversibility in Biological Systems"

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".

Deadline for manuscript submissions: closed (15 September 2021) | Viewed by 1313

Special Issue Editors

Dr. Massimiliano Zanin
E-Mail Website
Guest Editor
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), E-07122 Palma, Spain
Interests: complex systems; complex networks; network science; data mining
Special Issues, Collections and Topics in MDPI journals
Dr. David Papo
E-Mail Website
Guest Editor
Center for Translational Neurophysiology for Speech and Communication, Fondazione Istituto Italiano di Tecnologia, via Fossato di Mortara 17/19, 44121 Ferrara, Italy
Interests: EEG signal processing; entropy; brain dynamics; complex networks; oscillation; synchronization; magnetoencephalography
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The last few years have seen a dramatic increase in the availability of biological data, thanks to the introduction of new large-scale techniques, to screening programs applied to the general population, and to the availability of open-access data banks. However, the collection of data is not equivalent to the acquisition of knowledge, and data are only as significant as the analyses performed on them. When the objective of the analysis is to detect patterns, subsequently, the most crucial concepts are entropy (how they are distributed) and irreversibility (how they evolve with time).

In this Special Issue, we welcome contributions applying the concepts of entropy and irreversibility to biological systems at all scales, from processes inside the cell to the whole human body, in health and pathologies. Potential topics of the Special Issue include, but are not limited to, the following: metrics of entropy and irreversibility for biological time series; analysis of EEG, MEG, and EKG data; and analysis of postural and gait data.

Dr. Massimiliano Zanin
Dr. David Papo
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 1800 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

  • entropy
  • irreversibility
  • neuroscience
  • biology
  • pathologies

Published Papers (1 paper)

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Research

Article
Algorithmic Approaches for Assessing Irreversibility in Time Series: Review and Comparison
Entropy 2021, 23(11), 1474; https://doi.org/10.3390/e23111474 - 08 Nov 2021
Cited by 3 | Viewed by 752
Abstract
The assessment of time irreversibility, i.e., of the lack of invariance of the statistical properties of a system under the operation of time reversal, is a topic steadily gaining attention within the research community. Irreversible dynamics have been found in many real-world systems, [...] Read more.
The assessment of time irreversibility, i.e., of the lack of invariance of the statistical properties of a system under the operation of time reversal, is a topic steadily gaining attention within the research community. Irreversible dynamics have been found in many real-world systems, with alterations being connected to, for instance, pathologies in the human brain, heart and gait, or to inefficiencies in financial markets. Assessing irreversibility in time series is not an easy task, due to its many aetiologies and to the different ways it manifests in data. It is thus not surprising that several numerical methods have been proposed in the last decades, based on different principles and with different applications in mind. In this contribution we review the most important algorithmic solutions that have been proposed to test the irreversibility of time series, their underlying hypotheses, computational and practical limitations, and their comparative performance. We further provide an open-source software library that includes all tests here considered. As a final point, we show that “one size does not fit all”, as tests yield complementary, and sometimes conflicting views to the problem; and discuss some future research avenues. Full article
(This article belongs to the Special Issue Entropy and Irreversibility in Biological Systems)
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