Multi-Scale Information Dynamics in Neural Circuits: Theoretical, Computational and Experimental Perspectives
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 150
Special Issue Editors
Interests: neural dynamics; theoretical neuroscience; network neuroscience; statistical physics; neurophysiology; complex networks; graph theory
Interests: statistical physics; complex system; spin glasses; machine learning; optimization
Special Issue Information
Dear Colleagues,
This Special Issue aims to enhance our comprehension of the storage, processing, and transfer of information in neural circuits across different scales. We welcome submissions embracing various methods and disciplines.
We invite submissions that utilize a wide range of methodologies, particularly studies that move beyond traditional pairwise interactions and investigate high-order information transfer with advanced mathematical frameworks such as, but not limited to, information theory and hypergraphs. We strongly encourage contributions that integrate theoretical, computational, and statistical approaches. We aim to provide a comprehensive and transversal exploration of information transfer in networks of neurons.
We seek contributions that explore the following fields:
- Theoretical Neuroscience:
- Application of information theory principles to neural circuits, focusing on metrics that estimate information dynamics and computational frameworks that infer them from data;
- Multi-scale simulations that model biologically plausible information flow mechanisms in neural circuits;
- Theoretical methods that estimate entropy production in neural networks and its influence on neural computations.
- Computational Neuroscience:
- Computational models that leverage complex networks and graph theory algorithms (original studies and reviews highly encouraged);
- Studies exploring the link between neural structure and function and its consequence for information processing;
- Explorations into neuromorphic computing and artificial systems, including deep learning models leveraging multiple spatiotemporal scales.
- Experimental Neuroscience:
- Research utilizing invasive electrophysiology, two-photon imaging, fMRI, EEG, and MEG to assess information storage and transfer in real neural circuits. Multi-modal approaches combining different experimental techniques are appreciated.
- Cognitive Neuroscience:
- Investigations linking information transfer principles to the emergence of behavior;
- Submissions on Bayesian inference applied to neural networks, with special emphasis on approaches such as predictive coding, active inference, and the free-energy principle, are particularly welcome.
Dr. Giampiero Bardella
Dr. Liming Pan
Guest Editors
Dr. Gianni Valerio Vinci
Guest Editor Assistant
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 dynamics
- statistical physics
- collective behavior in networks
- information theory
- dynamical systems
- causality
- graph theory
- network theory
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