NS248 - Winter 2010
Neural and Behavioral Data Analysis

Course Director: Loren Frank
E-mail: loren@phy.ucsf.edu

Prerequisite: NS201A and NS201B or permission of the course director.

First Class: Thursday, January 7, 2010
Classes are held on Tuesday and Thursday mornings from 10:00-12:00am on the Parnassus Campus. Please see schedule for locations.
Attendance is expected (for those taking the course for credit)

Course Description:
This advanced course will provide an in-depth introduction to methods and techniques used for the analysis of neural and behavioral data. The following topics will be discussed: probability and probability distributions, descriptive statistics for gaussian and non-gaussian data, regression, auto and cross correlations, reverse correlation, information theory and likelihood based model building for both neural and behavioral data. The course will involve substantial programming in Matlab and previous Matlab experience is strongly recommended. Students will be expected to attend all of the lectures, complete the weekly problem sets and present solutions to the problem sets in the weekly discussion section. There will also be a final project.

Course Materials:
Materials are located here: http://phy.ucsf.edu/~loren/NS248

Course Schedule: