PSYC 160 Imaging Methods

How can we understand how the brain works? This course provides an introduction to in vivo  neuroimaging in humans using functional magnetic resonance imaging (fMRI). The goal of the  class is to introduce: (1) how the scanner generates data, (2) how psychological states can be  probed in the scanner, and (3) how this data can be processed and analyzed. Students will be  expected to analyze brain imaging data using the opensource Python programming language. We  will be using several packages such as numpy, matplotlib, nibabel, nilearn, fmriprep, pybids, and  nltools. We will cover the basics of signal processing, and how we can make inferences using the  general linear model. We will also introduce more advanced analysis techniques such as  prediction/classification, representational similarity analysis, and intersubject correlations.

Instructor

Chang