Computational Intelligence and Neuroscience
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 15 November 2026 | Viewed by 410
Editor
Special Issue Information
Dear Colleagues,
The integration of computational intelligence and neuroscience has become a pivotal frontier for decoding biological neural dynamics and advancing next-generation artificial intelligence. In particular, methods such as nonlinear dynamics, statistical inference, and stochastic modeling have significantly improved neural signal processing and our understanding of brain functions. Consequently, investigating the mathematical foundations of neural networks and the biophysical properties of neuromorphic systems is essential for developing efficient AI algorithms. Inspired by brain cognitive mechanisms and neural dynamics, recent computational models have demonstrated superior capabilities and decoding accuracy over conventional systems. Furthermore, these mathematically driven algorithms are increasingly applied in practical fields such as brain–computer interfaces and clinical neuroscience.
This Special Issue aims to publish significant contributions considering theoretical approaches and practical problems in Computational Intelligence and Neuroscience. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Mathematical modeling of neural networks;
- Neural signal processing and decoding;
- Neuromorphic computing;
- Brain–Computer Interfaces;
- Sensory processing;
- Neural motor control;
- Nonlinear dynamics in neural systems;
- Synaptic plasticity and learning algorithms;
- Statistical inference and stochastic modeling;
- Bio-inspired artificial intelligence;
- Computational clinical neuroscience;
- Cognitive computing and modeling;
- Neuroinformatics.
I look forward to receiving your contributions.
Dr. Qing Li
Guest Editor
Manuscript Submission Information
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Keywords
- computational intelligence
- neuroscience
- neural signal processing
- neural decoding
- brain–computer interfaces
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