Computational Cognitive Neuroscience: Psych 4175/5175

T/R 11:00 - 12:15am, Spring 2006
Room: Muenzinger D156
Department of Psychology

Professor TA
Name: Randy O'Reilly Philip Branning
Office: Muen D-251C Muen D-313D
Phone: 303-492-0054 n/a
Email: anti-spam email addr img philip.branning@colorado.edu
Office Hours: Mon 3-4 TBD

cecn cover

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.


Important Links

Professor: Randy O'Reilly

Full Syllabus: Online Version -- or -- PDF Version (for printing)

Downloading anything: Overall course FTP site


Lectures

You need to have the Adobe Acrobat Reader to read these PDF (portable document format) files.

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.

Introduction
Units/Neurons
Networks
Model Learning
Task Learning
Combination of Model & Task, and Learning over Time
Large Scale Brain Organization & Intro to Part II
Perception and Attention
Memory
Language
Higher-Level Cognition

Last updated: 01/17/06