AI is transforming neuroscience research, providing tools to accelerate discoveries and enhance clinical care. At the 2025 Society for Neuroscience meeting, experts highlighted how AI can analyse data, guide experiments, and even enhance scientific manuscripts.
Modified artificial neural networks and deep learning models are helping researchers understand brain function in unprecedented ways.
NeuroInverter, for instance, predicts ion channel compositions in neurons, enabling the creation of ‘digital twins’ that could advance the study of neurological disorders. Brain-inspired models are also proving faster and more efficient in simulating perception and sensory integration.
AI is expanding into practical healthcare applications. Machine learning algorithms can analyse smartphone videos to identify gait impairments with high accuracy, while predictive models detect freezing of gait in Parkinson’s patients before it occurs.
Brain-computer interfaces trained with AI can also decode semantic information from neural activity, thereby supporting communication for individuals with severe disabilities.
Overall, AI is emerging as a powerful collaborator in the field of neuroscience. By bridging fundamental research and clinical practice, it promises faster discoveries, personalised treatments, and new ways to understand the human brain.
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