Journal Browser

Journal Browser

Special Issue "Computational Approaches and Modeling in Neuroscience"

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

Deadline for manuscript submissions: 15 November 2023 | Viewed by 95

Special Issue Editors

Faculty of Natural Sciences, University of Stirling, Stirling FK9 4AL, UK
Interests: computational neuroscience; neuroinformatics; early auditory processing; artificial intelligence
Dr. David Holcman
E-Mail Website
Guest Editor
Ecole Normale Superieure, Paris and Churchill College, University of Cambridge, Trinity Ln, Cambridge CB2 1TN, UK
Interests: computational neuroscience; modeling; biophysics; computational molecular and cellular biology; data modeling; analysis of cellular microdomains; stochastic simulations; analysis of large amount of time-series and single particle trajectories; super-resolution data analysis; reconstruction of chromatin organization from large matrices; analysis of long-time series of electrophysiological recordings and deconvolution of fluorescent indicators in neurons; predictive medicine algorithms: anoxic coma; EEG analysis; monitoring and short-term anesthesia prediction

Special Issue Information

Dear Colleagues,

Modelling neural systems using mathematics takes many forms, from programming systems to differential equations to discrete models. What is being modelled can vary from the molecular (modelling interactions between neurochemicals) to the microscopic (modelling ion channels or patches of membrane) to the cellular (modelling small numbers of neurons, or neural circuits) to larger scale (modelling large numbers of neurons) to full-scale brain modelling (modelling the interactions between brain areas). Furthermore, interest in models that bring together multiple levels is increasing.

The aims of these models can be just as varied. For example, the interest may be in modelling the system to better understand it (perhaps by modelling ground truth, where such data exist, or attempting to connect the model to existing mathematics such as information theory), or it may be in modelling the effect of a neurochemical; interest may also be clinical (for example, better understanding recalcitrant or refractory epilepsy or Parkinsonism, or modelling psychiatric effects).

The main topics of this Special Issue include (but are not limited to):

-mathematical and computational models of neural systems

-multi-level models of neural systems

-confirming neural models with ground truth data

Prof. Dr. Leslie S. Smith
Dr. David Holcman
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.


  • synapse/membrane/neural models
  • neural circuit models
  • brain modelling
  • discrete neural models
  • differential equation neural models
  • multi-level neural model
  • applications of neural models

Published Papers

This special issue is now open for submission.
Back to TopTop