Subject: Neurosciences
Course Number: 248
Course Title: Analysis of Neural and Behavioral Data
Units: 3
School: Graduate Division
Department: Neuroscience Program

Course Description: Lectures, critical discussions, and problem solving using Matlab, a mathematical and data visualization program. Topics may include: probability, descriptive statistics, binomial and poisson processes, analysis of spike trains, and analysis of dynamic neural and behavioral dats. Problem sets include statistical analysis and simulation of neural and behavioral data. Previous Matlab experience strongly suggested. Offered every two years beginning Spring 2004
Prerequisites: NS201A and 201B or consent of course director. Previous Matlab experience strongly suggested
Restrictions: None.
Activities: Direct - Lecture, Direct - Independent Study, Direct - Conference, Student - Lecture

Instructor of Record: L. Frank
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Winter
Course will not be offered in: Winter 2022
Course Grading Convention: Letter Grade
Graduate Division course: Yes
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? No
Repeat course for credit? Yes