Q550: Models in Cognitive Science
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Q550: Models in Cognitive Science |
Spring 2007: Tues/Thu,
11:15-12:30, PY 113
Instructor: Dr. Michael Jones
Office: PY 357
Phone: 856-1490
Email:
jonesmn@indiana.edu
Office Hours: By appointment
Course Links:
o
Syllabus
Schedule*
Click on a topic to view the readings and resources for that week.
Legend
Papers: Required readings (and 'summarizer,' if applicable)
Other Readings: Recommended, but not required; if you get excited by the required readings, this is where to go next for more info.
Background Readings: Not required, but a good introductory source to the topic(s) if you are completely new to this.
References: Refs to the papers I might cite in lecture
Resources: Links to code, online tutorials, and other cool stuff relevant to our discussion
*Subject to change
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Week |
Dates |
Topics |
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Week 1
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Jan 9 Jan 11 |
Course Overview
Introduction to Cognitive Modeling
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Week 2 |
Jan 16 Jan 18 |
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Week 3 |
Jan 23 Jan 25 |
Large-Scale Statistical Models Embodiment in Models of Learning
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Week 4 |
Jan 30 Feb 1 |
Biologically-Inspired Computational Models Bridging Top-Down and Bottom-Up Models ¯ (Project Proposal Due)
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Week 5 |
Feb 6 Feb 8 |
NO CLASS (AI Conference) NO CLASS (AI Conference)
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Week 6 |
Feb 13
Feb 15 |
Student Proposals 1: Domain Background
Skyler Place: Mate Copying/Perception of Attractiveness
Vsevolod Kapatsinski:
Syllabic Constituent Structure
Richard Hullinger: Filtering & Condensation in Categorization
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Week 7 |
Feb 20
Feb 22 |
Student Proposals 1: Domain Background Winter Mason: Implicit Association Eric Nichols: Melody Perception Bethany Schneider: Face Inversion Effect
Student Proposals 1: Domain Background Drew Hendrickson: Feature Unitization in Category Learning Firat Soylu: Categorization of Instructional Approaches Xin Wang: Phonetic Trading Relation
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Week 8 |
Feb 27
Mar 1 |
Student Proposals 1: Domain Background
Toshiyuki Uchino: Representation and Semantic Priming
Tom Wisdom: Group Problem Solving Young Ahn: Expectancy Valence and Choice Behavior
Student Proposals 1: Domain Background Sun Kim: Subliminal Mere Exposure Effect
Kyung Lim: Pitch/Timbre Perception
Bruce Chang: Phonological Similarity Effect
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Week 9 |
Mar 6
Mar 8 |
Student Proposals 2: Model/Experiment Skyler Place: Mate Copying/Perception of Attractiveness
Vsevolod Kapatsinski:
Syllabic Constituent Structure
Richard Hullinger: Filtering & Condensation in Categorization
Student Proposals 2: Model/Experiment Winter Mason: Implicit Association Eric Nichols: Melody Perception Bethany Schneider: Face Inversion Effect
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Week 10 |
Mar 13 Mar 15 |
NO CLASS (Spring Break) NO CLASS (Spring Break)
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Week 11 |
Mar 20
Mar 22 |
Student Proposals 2: Model/Experiment
Drew Hendrickson: Feature Unitization in Category Learning Firat Soylu: Categorization of Instructional Approaches Xin Wang: Phonetic Trading Relation
Student Proposals 2: Model/Experiment
Toshiyuki Uchino: Representation and Semantic Priming
Tom Wisdom: Group Problem Solving Young Ahn: Expectancy Valence and Choice Behavior
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Week 12 |
Mar 27
Mar 29 |
Student Proposals 2: Model/Experiment
Sun Kim: Subliminal Mere Exposure Effect
Kyung Lim: Pitch/Timbre Perception
Bruce Chang: Phonological Similarity Effect
Random Walks and Diffusion Models
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Week 13
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Sat. Apr. 7 |
Data Collection Day: ~9am-1pm, PY 287
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Week 14 |
April 10 April 12 |
Formalizing Models: Existence Proofs and Models of Forgetting Parameter Identification/Objective Fit Functions
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Week 15 |
April 17 April 19 |
Nonlinear Parameter Estimation Quantitative Model Comparisons Techniques
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Week 16 |
April 24 April 26 |
Techniques from Machine Learning/Cognitive Neuroimaging Data Bayesian Models and Dynamic Systems
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Week 17 |
Exam Week |
Final Project due by 4pm May 4th |
Other Links:
o Experiment Design and Analysis Links
o Cognitive Science Society: Virtual Colloquium Series
o What Does It Mean to Model Cognition? (Psychonomic Symposium papers)
o Math Psyc Symposium on Model Selection Techniques
o Software for demonstrating complex adaptive systems (Goldstone)
o Ian NeathÕs online tutorials (Java illustrations of several classic memory models)