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Dive into the research topics where Jonathan D. Cohen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Collaborative Research: SweetPea: Automating the Implementation and Documentation of Unbiased Experimental Designs
Cohen, J. D. (PI)
NSF - National Science Foundation
9/1/23 → 8/31/26
Project: Research project
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Toward a Brain-Inspired Model of the Flexibility and Autonomy of Human Behavior
Cohen, J. D. (PI)
11/1/21 → 10/31/26
Project: Research project
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REU Site: Princeton Neuroscience Institute Summer Internship Program
Cohen, J. D. (PI)
NSF - National Science Foundation
3/1/22 → 2/28/26
Project: Research project
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A Balanced, shared Computational Resource for Multidisciplinary Neuroscience Research
Cohen, J. D. (PI)
12/28/20 → 12/27/21
Project: Research project
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A Multiple-Well Framework for Human Perceptual Decision-Making
Fluegemann, J., Huang, J., Rosendahl, M. L., Busemeyer, J. & Cohen, J. D., Feb 2026, In: Entropy. 28, 2, 232.Research output: Contribution to journal › Article › peer-review
Open Access -
Adapting to Loss: A Computational Model of Grief
Dulberg, Z., Dubey, R. & Cohen, J. D., 2025, (Accepted/In press) In: Psychological Review.Research output: Contribution to journal › Article › peer-review
4 Link opens in a new tab Scopus citations -
AI-Enhanced Semantic Feature Norms for 786 Concepts
Suresh, S., Mukherjee, K., Giallanza, T., Yu, X., Patil, M., Cohen, J. D. & Rogers, T. T., 2025, (Accepted/In press) In: Topics in Cognitive Science.Research output: Contribution to journal › Article › peer-review
Open Access -
An Application of Quantum Computing to Modeling Human Decision-Making
Fluegemann, J., Huang, J., Pothukuchi, R. P., Martonosi, M., Busemeyer, J. & Cohen, J. D., 2025, Keynotes, Workshops, Posters, Panels, and Tutorials Program. Culhane, C., Byrd, G., Muller, H., Delgado, A. & Eidenbenz, S. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 560-561 2 p. (Proceedings - IEEE Quantum Week 2025, QCE 2025; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Yang, Y., Campbell, D., Huang, K., Wang, M., Cohen, J. & Webb, T., 2025, In: Proceedings of Machine Learning Research. 267, p. 70515-70549 35 p.Research output: Contribution to journal › Conference article › peer-review