Deep Learning in Neuroethology

Critical readings class will examine neural mechanisms for natural behavior (neuroethology) through reading classic studies and following current research. The course will emphasize the application of deep learning methods to movement patterns, spatial orientation, and social communication. DeepLabCut is one of several new programs that empower students and researches to take advantage of deep learning methods for behavioral neuroscience. The course will teach how to replace single-parameter data analysis with deep learning methods to identify underlying patterns Prerequisites are Introductory Neuroscience (NEUR0010) and prior training in Matlab or computer programming languages. DO NOT REQUEST AN OVERRIDE FOR THIS COURSE. Please see the Class Notes section for information about how to gain enrollment into this course.