PSY 394U (43375) --- Computational Methods in Cognitive Science

W 2:00-5:00 PM, SEA 2.224

Fall 2010 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 F 2-3, 4:30-5:30 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 Recommended Papers:
Ratcliff, R. (1978). A Theory of Memory Retrieval. Psychological Review, 85, 59-108. (Gyslain)
TRISHA VAN ZANDT (2000). How to fit a response time distribution. Psychonomic Bulletin & Review, 7, 424-465. (Gyslain)
Mark Steedman (2000). Information Structure and the Syntax-Phonology Interface. Linguistic inquiry. (Anna)
William Schuler, Samir AbdelRahman, Tim Miller, Lane Schwartz (2010). Broad-Coverage Parsing Using Human-Like Memory Constraints. Computational Linguistics. (Anna)
Ulrike Hahn, Mike Oaksford (2009). Inference from Absence in Language and Thought. in: N. Chater and M. Oaksford (eds.) The Probabilistic Mind.. (Anna)
Lauren A. Schmidt, Noah D. Goodman, David Barner2 (barner@ucsd.edu), and Joshua B. Tenenbaum(2009). How Tall Is Tall? Compositionality, Statistics, and Gradable Adjectives. Proc. of CogSci Society. (Joey)
Daniel J. Navarro, Thomas L. Griffiths, Mark Steyvers, and Michael D. Lee (2005). Modeling Individual Differences Using Dirichlet Processes. Journal of Mathematical Psychology. (Joey)
Leslie B. Cohen, Harold H. Chaput, Cara H. Cashon (2002). A constructivist model of infant cognition. Cognitive Development. (Les)
Wilson S. Geisler, Randy L. Diehl (2003). A Bayesian approach to the evolution of perceptual and cognitive systems. Cognitive Science. (Yeolib)
EDWARD 1. GEORGE and ROBERT E. McCULLOCH* (1993). Variable Selection Via Gibbs Sampling. Journal of the American Statistical Association. (Yeolib)
Peter E. Rossi, Robert E. McCulloch, Greg M. Allenby (1996). The Value of Purchase History Data in Target Marketing. Marketing Science. (Yeolib)
Thomas S. Wallsten, Timothy J. Pleskac, C. W. Lejuez (2005). Modeling Behavior in a Clinically Diagnostic Sequential Risk-Taking Task. Psychological Review. (Marissa)
Anthony J. Bishara a,!, John K. Kruschke b, Julie C. Stout b, Antoine Bechara c, David P. McCabed, Jerome R. Busemeyerb (2010). Sequential learning models for the Wisconsin card sort task: Assessing processes in substance dependent individuals. Journal of Mathematical Psychology. (Marissa)
ELDAD YECHIAM and JEROME R. BUSEMEYER(2005). Comparison of basic assumptions embedded in learning models for experience-based decision making. Psychonomic Bulletin & Review. (Marissa)
John R. Anderson (1995). A simple theory of complex cognition. American Psychologist. (Frank)
Here's a whole bunch of papers from Leif:
Modeling children's early grammatical knowledge C Bannard, E Lieven, É - PNAS, 2009 http://scholar.google.com/scholar?cluster=12409572847183376526
The role of embodied intention in early lexical acquisition C Yu, DH Ballard, RN Aslin - Cognitive Science, 2005 http://scholar.google.com/scholar?cluster=17903675605372536335
Distributed representations, simple recurrent networks, and grammatical structure JL Elman - Machine Learning, 1991 http://scholar.google.com/scholar?cluster=9449552653030039191
Efficient coding of natural sounds MS Lewicki - Nature Neuroscience, 2002 http://scholar.google.com/scholar?cluster=1720542738845374416
Possible origins of the complex topographic organization of motor cortex TN Aflalo, MSA Graziano - Journal of Neuroscience, 2006 http://scholar.google.com/scholar?cluster=8551068716242624541
Forward modeling allows feedback control for fast reaching movements M Desmurget, S Grafton - Trends in Cognitive Sciences, 2000 http://scholar.google.com/scholar?cluster=3420125986423139868
A fast learning algorithm for deep belief nets GE Hinton, S Osindero, YW Teh - Neural computation, 2006 http://scholar.google.com/scholar?cluster=1061321303310285076
Here are a bunch of papers from Manish on modeling and fMRI/EEG.

Class Schedule

Date Readings
August 25 Welcome
September 1 Busemeyer Intro Chapter to Cognitive Modeling (Joey)

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

Pitt, M.A., Myung, J., & Zhang, S. (2002). Toward a Method of Selecting Among Computational Models of Cognition. Psychological Review, 5, 472-491. (Yeolib; punted it for future paper)

Cute explanation of countable vs. uncountable infinite
September 8 Fei Xu & Joshua B. Tenenbaum (2007). Word Learning as Bayesian Inference Psychological Review (Frank)

Fei Xu & Joshua B. Tenenbaum (2007). Sensitivity to sampling in Bayesian word learning Developmental Science (Aditya)

Some Bayes background.
September 15 Colin Bannard, Elena Lieven, and Michael Tomasello (2009). Modeling children's early grammatical knowledge. PNAS (Marissa)

JEFFREY L. ELMAN (1991). Distributed Representations, Simple Recurrent Networks, and Grammatical Structure. Machine Learning (Anna)
September 22 Geoffrey E. Hinton, Simon Osindero, Yee-Whye Teh (2006). A Fast Learning Algorithm for Deep Belief Nets Neural Computation. (Leif)

Leslie B. Cohen, Harold H. Chaput, Cara H. Cashon (2002). A constructivist model of infant cognition Cognitive Development. (Les)
September 29 ANDRIEU, FREITAS, DOUCET, JORDAN (2003). An Introduction to MCMC for Machine Learning. Machine Learning, 50, 5-43. (Joey, demos by Aditya and Yeolib) I recommend skipping 2.3,3.3,3.5-3.7,4.1,4.2
Ocotober 6 Sanborn, A. N., Griffiths, T. L., & Navarro, D. J. (in press). Rational approximations to rational models: Alternative algorithms for category learning. Psychological Review. (Marc)

Ocotober 13 Radford M. Neal (2000). Markov Chain Sampling Methods for Dirichlet Process Mixture Models. Journal of Computational and Graphical Statistics. (Aditya)

Sharon Goldwater, Thomas L. Griffiths, Mark Johnson (2009). A Bayesian framework for word segmentation: Exploring the effects of context. Cognition. (Leif) You can just focus on the appendices unless content of aritcle really interests you. We are going to use this as an example in class.
Ocotober 20 ELDAD YECHIAM and JEROME R. BUSEMEYER(2005). Comparison of basic assumptions embedded in learning models for experience-based decision making. Psychonomic Bulletin & Review.(Marissa)

Thomas S. Wallsten, Timothy J. Pleskac, C. W. Lejuez (2005). Modeling Behavior in a Clinically Diagnostic Sequential Risk-Taking Task. Psychological Review. (Frank)
Ocotober 27 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)(Yeolib)

Maybeck chapter on Kalman Filter (Leif)
November 3rd Francisco Pereira, Tom Mitchell, Matthew Botvinick (2006). Machine learning classi!ers and fMRI: A tutorial overview. NeuroImage. (Aditya) (supplemtary)

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) (Joey)
November 10th I am out of town, please work on your project.
November 17th Project Presentations.
November 24th Thanksgiving
December 1st Shiffrin, R. M., Lee, M. D., Kim, W. & Wagenmakers,, E. J. (2008). A survey of model evaluation approaches with a tutorial on hierarchical Bayesian methods. Cognitive Science, 32, 1248-1284. (Yeolib/Marissa)