STAR Protocols, Journal Year: 2025, Volume and Issue: 6(1), P. 103622 - 103622
Published: Feb. 6, 2025
Language: Английский
Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(2), P. 550 - 550
Published: Jan. 16, 2025
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding the brain, unlocking new possibilities in research, diagnosis, therapy. This review explores how AI’s cutting-edge algorithms—ranging from deep learning to neuromorphic computing—are revolutionizing by enabling analysis complex neural datasets, neuroimaging electrophysiology genomic profiling. These advancements are transforming early detection neurological disorders, enhancing brain–computer interfaces, driving personalized medicine, paving way for more precise adaptive treatments. Beyond applications, itself has inspired AI innovations, with architectures brain-like processes shaping advances algorithms explainable models. bidirectional exchange fueled breakthroughs such as dynamic connectivity mapping, real-time decoding, closed-loop systems that adaptively respond states. However, challenges persist, including issues data integration, ethical considerations, “black-box” nature many systems, underscoring need transparent, equitable, interdisciplinary approaches. By synthesizing latest identifying future opportunities, this charts a path forward integration neuroscience. From harnessing multimodal cognitive augmentation, fusion these fields not just brain science, it reimagining human potential. partnership promises where mysteries unlocked, offering unprecedented healthcare, technology, beyond.
Language: Английский
Citations
8
Clinical Neurophysiology, Journal Year: 2025, Volume and Issue: 171, P. 133 - 145
Published: Jan. 24, 2025
Language: Английский
Citations
0
STAR Protocols, Journal Year: 2025, Volume and Issue: 6(1), P. 103622 - 103622
Published: Feb. 6, 2025
Language: Английский
Citations
0