Courses

Spring 2023

Selected Topics in Psychotherapy Research
Subject associations
PSY 420

This course will provide an overview of several theoretical orientations to psychotherapy and critically evaluate how the effects of therapies are measured and studied. Cognitive-behavioral approaches to psychotherapy will be explored in depth. Application of research findings to clinical practice will be examined closely, including issues related to psychotherapy integration and the treatment of diverse populations in various settings. The course will also include reviews of the current state of psychotherapy research for a number of psychological disorders and consider current controversies in the area of treatment outcome research.

Instructors
Megan Spokas
Sensation and Perception (EC)
Subject associations
NEU 325 / PSY 345

This course will provide an introduction to the scientific study of sensation and perception, the biological and psychological processes by which we perceive and interpret the world around us. We will undertake a detailed study of the major senses (vision, audition, touch, smell, taste), using insights from a variety of disciplines (philosophy, physics, computer science, neuroscience, psychology) to examine how these senses work and why. We will begin with physical bases for perceptual information (e.g., light, sound waves) and proceed to an investigation of the structures, circuits, and mechanisms by which the brain forms sensory percepts.

Instructors
Jonathan W. Pillow
Social Psychology (SA)
Subject associations
PSY 252

The scientific study of social behavior, with an emphasis on social interaction and group influence. Topics covered will include social perception, the formation of attitudes and prejudice, attraction, conformity and obedience, altruism and aggression, and group dynamics.

Instructors
Rebecca M. Carey
Systems Neuroscience: Computing with Populations of Neurons (SEL)
Subject associations
NEU 437 / MOL 437 / PSY 437

Introduction to a mathematical description of how networks of neurons can represent information and compute with it. Course will survey computational modeling and data analysis methods for neuroscience. Example topics are short-term memory and decision-making, population coding, modeling behavioral and neural data, and reinforcement learning. Classes will be a mix of lectures from the professor, and presentations of research papers by the students. Two 90 minute lectures, one laboratory. Lectures in common between NEU 437/NEU 537.

Instructors
Carlos D. Brody

Crosslisted Courses

Asian-American Psyches: Model Minority, Microaggressions and Mental Health (CD or SA)
Subject associations
ASA 238 / PSY 205
Brain Plasticity (SEN)
Subject associations
NEU 490 / PSY 490
Cognitive Science of Human Values (EC or SA)
Subject associations
PSY 315 / CHV 322
Deep Learning as a Cognitive Model for Social Neuroscience (EC)
Subject associations
PSY 337 / NEU 337
Foundations of Psychological Thought (EC or HA)
Subject associations
PSY 210 / HUM 210
Health Psychology (SA)
Subject associations
PSY 317 / GHP 317