Events

A Promising Tale: Machine Learning for Neuroscience

Speaker: Zhe Sage Chen

Location: 370 Jay Street, Room 825

Date: Tuesday, November 14, 2023

Advances in neurotechnology has allowed us to access large-scale amounts of neural and behavioral data. Statistical challenges remain how to leverage these BigData for understanding healthy and pathological brains and their links to behaviors, varying from episodic memory, decision making, pain, to neurological/psychiatric disorders. Machine learning and AI have played an increasingly important role in this endeavor for basic and clinical neuroscience research, including developing biologically realistic neural circuits for experimental predictions, extracting neural representations from multi-brain regions, reading out neural codes in brain-machine interfaces (BMI), and EEG data augmentation for biomarker discovery. I will outline some research efforts and showcase a few recent projects in my lab, followed by open discussions on new challenges and future research opportunities. Read more here.