Awarded in 2024
Home Department: Computer Science
Faculty Advisors: Scott Linderman (Statistics) and Jaimie Henderson (Neurosurgery)

Research Title: Cross-brain transfer for intracortical handwriting and speech BCIs

Intracortical brain-computer interfaces (BCIs) that decode complex movements, such as handwriting and speech, require substantial training data to achieve high performance. Each new BCI user must therefore engage in extensive training data collection during the initial setup phase, which is impractical for real-world use. To reduce the data collection burden for new users, Alisa will develop two cross-brain transfer approaches that leverage the neural activity recordings of previous users. She will optimize transfer and meta learning methods offline and then compare them in online experiments, evaluating their potential for removing a key barrier to the clinical translation of BCIs.