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Ceko, Marta

Asst Research Professor

Positions

Research Areas research areas

Research

research overview

  • Dr. Ceko's research is focused on exploring brain mechanisms of aversive processing. She is particularly interested in applying predictive computational modeling approaches to fMRI, behavioral, and physiological data to determine brain processes underlying successful regulation of aversive experiences. The longer-term goal of this research is to develop brain and behavioral targets for individualized prevention and treatment of pain and related disorders.

keywords

  • cognitive and affective neuroscience, brain mechanisms, pain psychophysics, functional MRI

Publications

selected publications

Teaching

courses taught

  • CSCI 6402 - Issues and Methods in Cognitive Science
    Primary Instructor - Spring 2023
    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.
  • EDUC 6504 - Issues and Methods in Cognitive Science
    Primary Instructor - Spring 2023
    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.
  • LING 6200 - Issues and Methods in Cognitive Science
    Primary Instructor - Spring 2023
    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. Recommended prerequisite: at least one course at the 3000-level or higher in CSCI, LING, PHIL, or PSYC. Same as CSCI 6402 and EDUC 6504 and PHIL 6310 and PSYC 6200 and SLHS 6402.
  • PHIL 6310 - Issues and Methods in Cognitive Science
    Primary Instructor - Spring 2023
    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. Recommended prerequisite: at least one course at the 3000-level or higher in CSCI, LING, PHIL, or PSYC. Same as CSCI 6402 and EDUC 6504 and LING 6200 and PSYC 6200 and SLHS 6402.
  • PSYC 6200 - Issues and Methods in Cognitive Science
    Primary Instructor - Spring 2023
    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 CSCI 6402 and EDUC 6504 and LING 6200 and PHIL 6310 and SLHS 6402.

International Activities

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