Neural Networks and Brain Science: Structural Modeling, Functional Dynamics and Applied Perspectives

Dear Colleagues,

The Special Issue “Neural Networks and Brain Science: Structural Modeling, Functional Dynamics and Applied Perspectives” aims to provide an interdisciplinary platform for advanced research at the intersection of artificial neural networks, computational neuroscience, and the structural and functional organization of the human brain. Recent progress in deep learning, neuroimaging, neuromodulation, signal processing, and brain–computer interfaces has created unprecedented opportunities to understand neural mechanisms and develop intelligent systems inspired by biological principles. This Special Issue encourages contributions that explore structural modeling, functional mapping, neural computation, synaptic plasticity, cognitive processes, and the integration of biological and artificial systems.

Studies focusing on innovative methodologies, experimental approaches, simulations, and applied perspectives in domains such as motor control, sports science, rehabilitation, decision-making, perception, and behavior are especially welcome. By bringing together researchers from neuroscience, biomedical engineering, computer science, psychology, and sport science, this Special Issue seeks to promote the exchange of knowledge and highlight how neural models and brain-inspired algorithms can enhance both theoretical understanding and real-world applications. We invite original articles, reviews, and case studies that address emerging challenges and propose new directions for future research.

Prof. Dr. Vladimir Potop
Guest Editor

Manuscript Submission Information

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