This talk focuses on how machine learning (ML) is revolutionising neuroscience by enabling deeper insights into brain function. ML techniques, such as deep learning and neural networks, are being applied to analyse complex neural data from imaging, electrophysiology, and behavioural studies. These tools help decode brain signals, model neural activity, and identify patterns that traditional methods cannot uncover. Applications include improving brain-computer interfaces, neuromarketing, advanced UX research, and developing personalised experiences.
By integrating ML with neuroscience, we can accelerate discoveries about the brain while addressing challenges like data complexity and model interpretability. This synergy promises advancements in both scientific understanding and clinical innovation.
Format: Presentation