Projects per year
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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
NSF - National Science Foundation
9/1/23 → 8/31/26
Project: Research project
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REU Site: Princeton Neuroscience Institute Summer Internship Program
NSF - National Science Foundation
3/1/22 → 2/28/25
Project: Research project
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Toward a Brain-Inspired Model of the Flexibility and Autonomy of Human Behavior
11/1/21 → 10/31/26
Project: Research project
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A Balanced, shared Computational Resource for Multidisciplinary Neuroscience Research
12/28/20 → 12/27/21
Project: Research project
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Associative memory retrieval modulates upcoming perceptual decisions
Bornstein, A. M., Aly, M., Feng, S. F., Turk-Browne, N., Norman, K. A. & Cohen, J. D., Jun 2023, In: Cognitive, Affective and Behavioral Neuroscience. 23, 3, p. 645-665 21 p.Research output: Contribution to journal › Article › peer-review
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Having multiple selves helps learning agents explore and adapt in complex changing worlds
Dulberg, Z., Dubey, R., Berwian, I. M. & Cohen, J. D., Jul 11 2023, In: Proceedings of the National Academy of Sciences of the United States of America. 120, 28, e2221180120.Research output: Contribution to journal › Article › peer-review
Open Access -
Integrating model development across computational neuroscience, cognitive science, and machine learning
Gleeson, P., Crook, S., Turner, D., Mantel, K., Raunak, M., Willke, T. & Cohen, J. D., May 17 2023, In: Neuron. 111, 10, p. 1526-1530 5 p.Research output: Contribution to journal › Comment/debate › peer-review
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Stress, Intertemporal Choice, and Mitigation Behavior During the COVID-19 Pandemic
Agrawal, M., Peterson, J. C., Cohen, J. D. & Griffiths, T. L., 2023, (Accepted/In press) In: Journal of Experimental Psychology: General.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
Iordan, M. C., Giallanza, T., Ellis, C. T., Beckage, N. M. & Cohen, J. D., Feb 2022, In: Cognitive science. 46, 2, e13085.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations