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: closed (15 November 2023) | Viewed by 9794
Special Issue Editors
Interests: computational neuroscience; neuroinformatics; early auditory processing; artificial intelligence
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.
Keywords
- synapse/membrane/neural models
- neural circuit models
- brain modelling
- discrete neural models
- differential equation neural models
- multi-level neural model
- applications of neural models
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
