Advances and Applications in Computational Neuroscience
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematical Biology".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 431
Special Issue Editors
Interests: theoretical neuroscience; information geometry; neural dynamics; large neuronal networks; dynamical systems
Special Issues, Collections and Topics in MDPI journals
Interests: time-series analysis; information theory; time–frequency transform; wavelet transform; entropy and complexity; non-linear dynamics and chaos; complex networks; medical and biological applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The brain is an enormously complex organ with billions of interconnected neurons, each with intricate dynamics. The process of creating mathematical or computational models of neural processes and brain function is known as computational neuroscience. These models, which capture different features of brain activity, can range from simple to highly sophisticated. By comparing predictions with experimental data, data analysis techniques help to validate and refine these models. Computational modelling of individual brain areas or even whole brains can provide useful insights into brain function and potentially open up new avenues for understanding neurological diseases. Computational neuroscience can make significant advances in understanding the complex functions of the brain. Applying this knowledge to various fields such as neural network models, connectomes (the study of the structural connectivity of the brain), brain–computer interfaces (BCIs), computational models of cognitive processes, and spiking neural networks (SNNs) will help us gain a better understanding of psychiatric disorders.
Moreover, computational neuroscience is crucial for understanding learning and memory processes in biological and artificial intelligence systems. We invite scientists from this interdisciplinary field to submit novel research papers that integrate theoretical advances in computational neuroscience and advances in data analysis techniques.
Prof. Dr. Fernando Montani
Dr. Osvaldo Anibal Rosso
Guest Editors
Manuscript Submission Information
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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
- computational neuroscience
- networks models
- connectomes
- brain–computer interface
- computational models of cognitive processes
- spiking neural networks
- psychiatric disorders
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