Machine learning in neuroscience leverages computational algorithms to analyze complex neural data, facilitating insights into brain function and aiding in the development of brain-computer interfaces. This interdisciplinary approach enhances our understanding of neurological disorders and supports the creation of predictive models for brain activity.