Deep Learning Methods in Neuroethology

NEUR 1940B S01 [CRN: 26689]

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. Request override through [email protected]
Term
Spring 2020
Credit Hours
1
Maximum Enrollment
20
Primary Instructor
Primary Instructor
Meetings
15:00 - 17:30 Mon - from Jan 22, 2020 to May 15, 2020
Exam Group Code
13