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PSY 629: fMRI design and analysis

The goal of this course is to introduce students to the design of fMRI experiments and fMRI data analysis using both lectures and hands-on exercises. Covered topics include a short introduction to MR physics, block designs, rapid{event related designs, data preprocessing, and standard analyses using the general linear model. Advanced analysis techniques (e.g., functional connectivity analysis, multivariate pattern analysis, etc.) and common pitfalls in design and analysis will also be covered.

PSY 200: Introduction to cognitive psychology

A survey of psychology as the science of mental life, covering theories and research in perception, reading, attention, consciousness, imagery, memory and its improvement, problem solving, creativity, decision making, and artificial intelligence.

PSY 692: Skill learning

This seminar will explore the cognitive neuroscience of skill learning using weekly readings and discussions of both empirical and theoretical articles. Example skills that will be discussed in this class are perceptual categorization, sequence learning, and visuospatial/motor learning.

PSY 591: Introduction to computational cognitive neuroscience

Computational cognitive neuroscience is a new field of study that lies at the intersection of computational neuroscience and the similar fields of machine learning, neural network theory, connectionism, and artificial intelligence. Like computational neuroscience, computational cognitive neuroscience strives for neurobiological accuracy and like connectionism, a major goal is to account for behavior. Covered topics include probabilistic models (e.g., Bayesian belief networks), connectionism, computational neuroscience, and computational cognitive neuroscience applications. Knowledge of calculus is essential, and knowledge of linear algebra, probability, and differential equations is strongly recommended.