Methods, Analysis and Applications in Computational Neuroscience
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Network Science".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 49
Special Issue Editor
Special Issue Information
Dear Colleagues,
Nowadays, bio-inspired algorithms play an important role in the development of modern applications. In particular, applications such as control theory, cybernetics, quantitative psychology, machine learning, artificial neural networks, artificial intelligence and computational learning theory have been significantly improved since most of them are highly inspired by diverse neural phenomena. Therefore, the study of the complex biophysical characteristics of neurons potentially allows for the development of better neurobiological computational systems. Inspired by differing dynamics and modulations, among others, recent neural algorithms have been created. These models have been proven to improve the computational capabilities of conventional systems. In addition, most of them have been used in practical applications.
This Special Issue aims to publish significant contributions considering theoretical approaches and practical problems in computational neuroscience. Topics of interest include, but are not limited to, the following:
- Behaviors of networks;
- Development, axonal patterning and guidance;
- Sensory processing;
- Motor control;
- Memory and synaptic plasticity;
- Visual attention, identification and categorization;
- Cognition, discrimination and learning;
- Computational clinical neuroscience;
- Predictive computational neuroscience;
- Neuromorphic computing;
- Neuroinformatics;
- Software for neuroscience;
- Cybernetics.
I look forward to receiving your contributions.
Dr. Giovanny Sánchez
Guest Editor
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Keywords
- large-scale neural networks
- axon and dendrites
- neuromorphic architectures
- synaptic transmission
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