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 researchWebsite:
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.
Before joining Brown University, Sebastian received his Ph.D. in Quantitative and Computational Neuroscience at Princeton University, working in the Neuroscience of Cognitive Control Laboratory of Jonathan D. Cohen. Prior to his graduate studies, Sebastian received his diploma in Psychology at the Technische Universität Dresden in 2014. During his diploma studies, he joined the University of Colorado in Boulder as a short-term research scholar where he developed biologically inspired neural network models of human task switching performance.
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Mean distance: 14.5 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentorThomas 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
Sign in to add traineeBen 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 |
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 |