PSY 394U (44455) --- Models of Cognition

W 2:00-5:00 PM, SEA 4.242

Fall 2008 Syllabus

homepage: http://love.psy.utexas.edu/models/
Click here for a week by week class schedule.

Who Office Office Hours email
Bradley Love SEA 5.202 Th 4-6 PM (best to confirm)
 love@psy.utexas.edu

General Course Description:

We are going to read journal articles discussing cognitive models and analysis techniques (e.g., Bayesian Hierarchical Modeling).

Format of Classes:

Class will be discussion oriented. As in most seminars, class participation is important. Students are expected to do the readings before each class and to come prepared to talk about issues related to those readings. A designated student will lead discussion for a particular artcle.

Requirements:

Each class (see schedule below), Participation will make up 80% of your class grade. Participation includes attending class, knowing the readings, and speaking in class. There will be a final project that will make up 20% of the grade.

Another requirement of class is to check your email somewhat frequently for course announcements.

Policy on incompletes.

No incompletes will be given.

Textbook

none

Additional Materials

Every week there will be additional readings. These readings will be available online as pdf files. .

Class Schedule

Date Readings
August 27 Welcome
September 3 Busemeyer Intro Chapter to Cognitive Modeling (Chaleece)

Roberts, S., & Pashler, H. (2000). How persuasive is a good fit? A comment on theory testing. Psychological Review, 107,358-367. (Nicholas)

Pitt, M.A., Myung, J., & Zhang, S. (2002). Toward a Method of Selecting Among Computational Models of Cognition. Psychological Review, 5, 472-491. 573-605. (Aaron)
September 10 Shiffrin, R. M., & Steyvers, M. (1997). A model for recognition memory: REM - retrieving effectively from memory. Psychonomic Bulletin & Review, 3, 145-166. (Ross)

Dennis, S., & Humphreys, M.S. (2001). A Context Noise Model of Episodic Word Recognition. Psychological Review, 108,452-478. (Kat)
September 17 Nosofsky, R.M. (1988). Exemplar-Based Accounts of Relations Between Classification, Recognition, and Typicality. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14, 700-708. (Tyler)
September 24 Kenneth A. Norman, Sean M. Polyn, Greg J. Detreand James V. Haxby (2006). Beyond mind-reading: multi-voxel pattern analysis of fMRI data. TRENDS in Cognitive Sciences , 10, 424-430. (Jenni)

Tom M. Mitchell, Svetlana V. Shinkareva, Andrew Carlson, Kai-Min Chang, Vicente L. Malave, Robert A. Mason, Marcel Adam Just (2008). Predicting Human Brain Activity Associated with the Meanings of Nouns . Science , 320, 1191-1195., (supplementary) , (website) (Tyler)
October 1 Ratcliff, R., & Rouder, J. N. (1998). Modeling response time for two-choice decisions. Psychological Sciences, 9, 347-356. (Darrell)

Nosofsky, R.M., & Palmeri, T.J. (1997). An Exemplar-Based Random Walk Model of Speeded Classification. Psychological Review, 104, 266-300. (Marc)
October 8 Greg Welch and Gary Bishop. (2006). An Introduction to the Kalman Filter. TR 95-041 UNC. (Ross)

Nathaniel D. Daw, John P. O'Doherty, Peter Dayan, Ben Seymour & Raymond J. Dolan (2006). Cortical substrates for exploratory decisions in humans. Nature, 441, 876-879. (supplementary)(Darrell)

Maybeck chapter (very clear!)
October 15 Konrad P. Kording1 and Daniel M. Wolpert. (2006). Bayesian decision theory in sensorimotor control. TRENDS in Cognitive Sciences, 10, 319-326. (Brian)

Peter Dayana and Yael Niv (2008). Reinforcement learning: The Good, The Bad and The Ugly. Current Opinion in Neurobiology, 18, 185-196. (Aaron)
October 22 Levy, R. (2008). Expectation-based syntactic comprehension. Cognition, 106, 1126-1177. (Nick)
October 29 ANDRIEU, FREITAS, DOUCET, JORDAN (2003). An Introduction to MCMC for Machine Learning. Machine Learning, 50, 5-43. (Irvin)
November 5th Jeffrey S. Johnson, John P. Spencer, Gregor Schšner (in press). A layered neural architecture for the consolidation, maintenance, and updating of representations in visual working memory . Brian Research (Kat)

John P. Spencer, Sammy Perone, and Jeffrey S. Johnson (in press). The Dynamic Field Theory and Embodied Cognitive Dynamics . Book Chapter (optional overview)
November 12th Yves Rosseel (2002). Mixture Models of Categorization . Journal of Mathematical Psychology, 46, 178Ð210 (Tyler)

k-means (optional), Maximum likelihood clustering (optional), Combining Max Lik and k-means using EM (optional)
November 19th Christian F. Beckmann and Stephen M. Smith. Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 23, NO. 2, FEBRUARY 2004 (Jenni)

Martin J. McKeown and Terrence J. Sejnowski. Independent Component Analysis of fMRI Data: Examining the Assumptions. Human Brain Mapping 6:368Ð372(1998) (Jenni)
December 3rd Steven C. Stout and Ralph R. Mille (2008). Sometimes-Competing Retrieval (SOCR): A Formalization of the Comparator Hypothesis. Psychological Review, 114, 759-783.. (Jeff)