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 6306
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
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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
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