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Carter, R. McKell

Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • Work in my lab focuses on basic and translational research on social influences in decision making. We use a combination of behavioral and functional magnetic resonance imaging experiments to tease apart the contributions that different brain regions make to decisions that involve someone else. We ask people to play games to test cognitive models of healthy and disordered social function. Our work often requires the development or adaptation of computational tools for work on neuroimaging datasets.

keywords

  • social neuroscience, games, risk, fMRI, human neuroscience, autism, machine learning

Publications

selected publications

Teaching

courses taught

  • CSCI 3702 - Cognitive Science
    Primary Instructor - Fall 2021 / Fall 2022 / Fall 2023 / Fall 2024
    Introduces cognitive science, drawing from psychology, philosophy, artificial intelligence, neuroscience, and linguistics. Studies the linguistic relativity hypothesis, consciousness, categorization, linguistic rules, the mind-body problem, nature versus nurture, conceptual structure and metaphor, logic/problem solving and judgment. Emphasizes the nature, implications and limitations of the computational model of mind. Recommended prerequisites: two of the following CSCI 1300 or CSCI 2275 or LING 2000 or PHIL 2440 or PSYC 2145. Same as LING 3005 and PHIL 3310 and PSYC 3005 and SLHS 3003 and CSPB 3702.
  • CSCI 6402 - Issues and Methods in Cognitive Science
    Primary Instructor - Spring 2018 / Spring 2019 / Spring 2021
    Interdisciplinary introduction to cognitive science, examining ideas from cognitive psychology, philosophy, education, and linguistics via computational modeling and psychological experimentation. Includes philosophy of mind; learning; categorization; vision and mental imagery; consciousness; problem solving; decision making, and game-theory; language processing; connectionism. No background in Computer Science will be presumed. Same as EDUC 6504 and LING 6200 and PHIL 6310 and PSYC 6200 and SLHS 6402.
  • CSPB 3702 - Cognitive Science
    Primary Instructor - Spring 2020
    Introduces cognitive science, drawing from psychology, philosophy, artificial intelligence, neuroscience, and linguistics. Studies the linguistic relativity hypothesis, consciousness, categorization, linguistic rules, the mind-body problem, nature versus nurture, conceptual structure and metaphor, logic/problem solving and judgment. Emphasizes the nature, implications and limitations of the computational model of mind. Recommended prerequisites: LING 2000 or PHIL 2440 or PSYC 2145. Same as LING 3005 and PHIL 3310 and PSYC 3005 and SLHS 3003 and CSCI 3702.
  • EDUC 6504 - Issues and Methods in Cognitive Science
    Primary Instructor - Spring 2018 / Spring 2019 / Spring 2021
    Interdisciplinary introduction to cognitive science, examining ideas from cognitive psychology, philosophy, education, and linguistics via computational modeling and psychological experimentation. Department enforced prerequisite: graduate standing or at least one upper-division course in computer science, linguistics, philosophy, or psychology. Same as CSCI 6402 and LING 6200 and PHIL 6310 and PSYC 6200 and SLHS 6402.
  • INFO 3702 - Cognitive Science
    Primary Instructor - Fall 2023 / Fall 2024
    This course examines the ways in which our current understanding of human thinking is both illuminated and challenged by the evolving techniques and ideas of artificial intelligence and computer science. Our collective understanding of �minds� � both biological and computational � has been revolutionized over the past half century by themes originating in fields like cognitive psychology, machine learning, neuroscience, evolutionary psychology, and game theory, among others. This course will focus on both the larger �historical� arc of these changes, as well as current research directions and controversies.
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