Mathematical Modeling of Neurons and Brain Networks: Fundamental Principles and Special Applications

Dear Colleagues,

Understanding brain dynamics and function is one of the most relevant topics nowadays. A large number of experimental results based on the measurement of electromagnetic activity of the brain have been obtained and published in recent years due to advances in measurement techniques and devices. Coupling between brain subsystems and the impact of different cell types and synapses was reported by many groups all over the world and these phenomena need to be summarized as mathematical models since adequate mathematical modeling has been always considered as a significant step in understanding phenomena of nature. Though many models have been already constructed, they are still far from covering most observed phenomena. This Special Issue is devoted to answering the following specific questions:

1. Models of neurons and synapses, including new models, comparison of existing ones, computational issues, fitting models to data, etc.
2. Models of brain subsystems, i.e. limbic system, thalamocortical system, etc.
3. Models of sleep and wakefulness and the transitions between them.
4. Memory models.
5. Models of disorders and disease, including epilepsy, Parkinsonism, thalamocortical dysrhythmia, Alzheimer’s disease, etc.
6. Approaches to model (re)construction from experimental data.

Submissions on any other topics related to the general subject of this Special Issue are also welcome.

Prof. Dr. Ilya V. Sysoev
Guest Editor

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