Sebastian Musslick, Ph.D.

Affiliations: 
2014-2021 Princeton Neuroscience Institute Princeton University, Princeton, NJ 
 2021-2023 Department for Cognitive, Linguistic, and Psychological Sciences Brown University, Providence, RI 
 2023- Institute of Cognitive Science Osnabrück University 
Area:
cognitive control, mental effort, autonomous empirical research
Website:
https://www.smusslick.com/
Google:
"Sebastian Musslick"
Bio:

Sebastian Musslick is an Assistant Professor of Cognitive, Linguistic, and Psychological Sciences (Research) at Brown University, as well as a Schmidt Science Fellow and Brainstorm Innovator at the Carney Institute for Brain Science. Starting October 2023, he will be joining the Institute of Cognitive Science at the University of Osnabrück as Assistant Professor for Computational Neuroscience.

Sebastian's research program focuses on understanding limitations in the capacity of the human brain to exert cognitive control and the consequences of these limitations for natural and artificial cognition. As leader of the Autonomous Empirical Research Group, Sebastian is also integrating machine learning techniques into a closed-loop system for the generation, estimation, and validation of scientific models, to explain human behavior and brain function.

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Mean distance: 14.5 (cluster 23)
 
SNBCP

Parents

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Thomas Goschke research assistant 2011-2012 TU Dresden
Clemens Kirschbaum research assistant 2011-2013 TU Dresden
Randall C. O'Reilly research assistant 2012-2013 CU Boulder
 (short-term intern)
Jonathan D. Cohen research assistant 2013-2014 Princeton Neuroscience Institute
Jonathan D. Cohen grad student 2014-2021 Princeton Neuroscience Institute

Children

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Ben Andrew research assistant 2022-2024 Brown
Younes Strittmatter research assistant 2022-2024 Brown
Chad Williams post-doc 2022-2024 Brown
Joshua Hewson research scientist 2022-2023 Brown
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Publications

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Grahek I, Leng X, Musslick S, et al. (2023) Control adjustment costs limit goal flexibility: Empirical evidence and a theoretical account. Biorxiv : the Preprint Server For Biology
Musslick S, Masís J. (2023) Pushing the Bounds of Bounded Optimality and Rationality. Cognitive Science. 47: e13259
Silvestrini N, Musslick S, Berry AS, et al. (2022) An integrative effort: Bridging motivational intensity theory and recent neurocomputational and neuronal models of effort and control allocation. Psychological Review
Musslick S, Cherkaev A, Draut B, et al. (2021) SweetPea: A standard language for factorial experimental design. Behavior Research Methods
Musslick S, Cohen JD. (2021) Rationalizing constraints on the capacity for cognitive control. Trends in Cognitive Sciences
Eppinger B, Goschke T, Musslick S. (2021) Meta-control: From psychology to computational neuroscience. Cognitive, Affective & Behavioral Neuroscience
Bustamante L, Lieder F, Musslick S, et al. (2021) Learning to Overexert Cognitive Control in a Stroop Task. Cognitive, Affective & Behavioral Neuroscience
Grahek I, Musslick S, Shenhav A. (2020) A computational perspective on the roles of affect in cognitive control. International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology
Grahek I, Shenhav A, Musslick S, et al. (2019) Motivation and Cognitive Control in Depression. Neuroscience and Biobehavioral Reviews
Shenhav A, Straccia MA, Musslick S, et al. (2018) Dissociable neural mechanisms track evidence accumulation for selection of attention versus action. Nature Communications. 9: 2485
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