Interdisciplinary Statistical Physics, Neural Computation, and Complex Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Statistical Physics".
Deadline for manuscript submissions: 30 March 2026 | Viewed by 21
Special Issue Editors
2. Faculty of Exact Sciences, National University of the Center of the Province of Buenos Aires (UNICEN), Tandil, Argentina
Interests: condensed matter; neuroscience; education
Interests: theoretical neuroscience; information geometry; neural dynamics; large neuronal networks; dynamical systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Statistical physics offers a versatile framework for understanding emergent phenomena in systems composed of many interacting components. Its methodologies, ranging from equilibrium and non-equilibrium statistical mechanics to stochastic thermodynamics and information theory, have found applications across diverse fields, including neuroscience, machine learning, biological systems, and beyond.
This Special Issue seeks to highlight innovative research that leverages statistical physics to analyze, model, and optimize complex systems. We welcome contributions that apply statistical mechanics tools to problems in neural computation, neuroscience, and biologically inspired complex systems, with a focus on information processing and emergent dynamics.
Topics of Interest:
1. Statistical Physics of Neural Computation and AI(Integrates methodological advances within applied contexts)
Learning and Dynamics:
- Stochastic thermodynamics of training in neural networks (biological and artificial)
- Entropy-driven learning rules, information bottlenecks, and efficiency limits
- Criticality, phase transitions, and self-organization in neural dynamics
Modeling Frameworks:
- Physics-informed neural networks (PINNs) for solving dynamical systems
- Statistical mechanics of memory, attractor networks, and neuromorphic computing
- Maximum entropy approaches for inferring neural connectivity and function
(Focuses on neuroscience-relevant complex systems)
Network Dynamics:
- Collective behavior, synchronization, and resilience in neuronal networks
- Statistical mechanics of large-scale brain signals (e.g., spike trains, EEG/fMRI)
Biological Motility and Computation:
- Active matter approaches to neural development and axonal growth
- Swarming/collective motion in neural contexts (e.g., neural crest migration)
- Information flow in sensorimotor integration and embodied cognition
Dr. Marcelo Arlego
Prof. Dr. Fernando Montani
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
- neural computation
- stochastic thermodynamics
- physics-informed neural networks (PINNs)
- criticality in neural systems
- entropy-driven learning
- information theory in biology
- neural network dynamics
- active matter in neuroscience
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
