|Name:||Randy O'Reilly||Philip Branning|
|Office:||Muen D-251C||Muen D-313D|
|Office Hours:||Mon 3-4||TBD|
Text: O'Reilly, R. C. and Munakata, Y. (2000). Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain. Cambridge, MA: MIT Press.
Goals: How does the brain secrete the mind? This course will introduce you to the ideas and methods in computational cognitive neuroscience that have been applied to answering this question. Specifically, we focus on simulating cognitive and perceptual processes using neural network models. These models provide a bridge between behavioral and biological levels of analysis. We start by understanding the basic computational and biological properties of individual neurons and networks of neurons, which give rise to basic processing mechanisms like spreading activation, inhibition, and multiple constraint satisfaction. We then discuss learning mechanisms (self-organizing and error-driven), which all networks of neurons require to perform any reasonably complex task. We will examine a range of cognitive phenomena within this framework, including attention, memory, language, and higher-level cognition. The overarching goal is to use simulations to help us to understand how our neurons give rise to our thoughts.
Full Syllabus: Online Version -- or -- PDF Version (for printing)
Downloading anything: Overall course FTP site
Note: I reserve the right to update these up to the night before lecture, so if you want the absolute freshest version, you might print it out the morning of.
Last updated: 01/17/06