Machine Learning and Artificial Intelligence Algorithms in Neuroscience

Dear Colleagues,

Advancements in Machine Learning (ML) and Artificial Intelligence (AI) are transforming neuroscience, offering powerful tools to analyze brain function, diagnose neurological disorders, and develop innovative treatments. AI-driven approaches significantly enhance neuroimaging analysis, brain–computer interfaces (BCIs), and cognitive neuroscience research, enabling personalized medicine and real-time decision-making in clinical applications. The ability of AI to process large-scale neuroimaging data, decode complex neural signals, and model cognitive functions has opened new possibilities in early disease detection, neurorehabilitation, and neuroproteins.

This Special Issue seeks to explore state-of-the-art methodologies that integrate AI/ML with neuroscience, addressing challenges in neuroimaging processing, neural signal decoding, cognitive modeling, neurodegenerative disease prediction, and neuro-inspired AI architectures. The application of deep learning, reinforcement learning, and explainable AI in neuroscience research continues to refine diagnostic accuracy and treatment strategies, making AI a vital tool in understanding and mimicking brain functions.

Dr. Mohsen Ahmadi
Guest Editor

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