Teaching

Matlab tutorials for fMRI, statistics and neural networks

Here are links to some online tutorials that I wrote, using Matlab and Python. The code is designed to be readable, and it contains lots of comments which explain what is going on. As well as running the code to see the tutorials in action, look at the code itself to see read the explanations provided in the comments.

BCS 513: Introduction to fMRI: Imaging, Computational Analysis & Neural Representations

The core focus of course BCS 513 is on how fMRI can be used to ask questions about neural representations and cognitive and perceptual information processing. There is a particular emphasis on neural decoding and multivoxel pattern analysis methods. The course is mostly intended for graduate students, but is also open to interested undergrads.

Most recently taught: Spring 2014.
Probably next taught: Spring 2016.

More information about the class can be found here. A full set of downloadable PDFs of course readings and PowerPoint files of lecture-slides from Spring 2013 can be found here. (To see the complete list, scroll down to the bottom of that Piazza page and click on "Show all resources".) Video recordings of all the Spring 2013 lectures can be found in this YouTube playlist.

BCS 508: Cognitive Neuroscience

The aim of BCS 508 is to provide a general introduction to neuroscientific studies of various aspects of human cognition and perception, e.g. object-recognition, development, attention, language, vision, etc.

The class consists both of lectures (by me, and also a variety of guest lecturers from within the department) and also seminar-type discussions led by the students.

Most recently taught: Winter 2014.
Probably next taught: Winter 2016.

A full set of downloadable PDFs of course readings from Winter 2014 can be found here. (To see the complete list, scroll down to the bottom of that Piazza page and click on "Show all resources".)

BCS 265: Language and the Brain

This undergraduate class will be taught in Spring 2015. Check back here for updates.