Synchronization and Information Patterns in Human Dynamics
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 7
Special Issue Editors
2. Research & Development, Norfolk and Suffolk NHS Foundation Trust, Norwich NR6 5BE, UK
Interests: complexity science; neuroscience; human change; biosemiotics; synchronization
Interests: dynamical systems; complexity science; embodied cognition; phenomena of cognitive self-organization
Interests: heart rate variability; non-linear analysis; ECG; recurrence quantification analysis; recurrence networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Human dynamics operate through synchronized networks across multiple scales, from molecular biology and neural interactions to communication and social interactions. This Special Issue explores theoretical frameworks and empirical evidence for these complex synchronization phenomena and their information patterns.
We invite submissions investigating synchronization and information dynamics in human systems, focusing on:
- Mechanisms of Synchronization: Multimodal alignment and information flow within synchronized networks.
- Mechanisms of Coordination: Alignment and coordination; pattern formation and transformation; pattern collapse and creative destruction.
- Information Processing: Applications of information and dynamical systems theory, with related measures such as Shannon, Kolmogorov–Sinai, permutation, and other entropies. Recurrence Plots and other specific time series data analysis techniques.
- Patterns and Models: Self-organization, multi-scale coordination, chimera states, dynamical diseases, and human–AI interfaces. Systemic resilience measures and applications.
- Applications: Healthcare, physiology, education, human interfaces, robotics, emotion recognition, and neural disorders.
We welcome contributions from diverse fields, including network theory, psychology, neuroscience, psychiatry, biomedicine, artificial intelligence, and education science.
This Special Issue offers a platform to connect theoretical models with empirical observations, bridge insights across disciplines, and advance our understanding of how coordination underlies human functioning from cellular to social levels.
Prof. Dr. Franco F. Orsucci
Prof. Dr. Wolfgang Tschacher
Dr. Giovanna Zimatore
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
- synchronization
- information dynamics
- coordination
- self-organization
- networks
- entropy
- resilience
- multi-scale dynamics
- pattern formation
- human interfaces
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