Marcelo Gomes Mattar, Ph.D.

Affiliations: 
2020- Cognitive Science University of California, San Diego, La Jolla, CA 
Area:
Computational Neuroscience, Cognitive Neuroscience, Reinforcement Learning
Website:
http://marcelomattar.com
Google:
"Marcelo Gomes Mattar"
Mean distance: 13.41 (cluster 23)
 
SNBCP
Cross-listing: PsychTree

Parents

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Geoffrey K. Aguirre grad student 2010-2016 Penn
Sharon L. Thompson-Schill grad student 2011-2016 Penn
Danielle S. Bassett grad student 2014-2016 Penn
Nathaniel D. Daw post-doc 2016- Princeton
Mate Lengyel post-doc 2016- Cambridge

Collaborators

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Maria Olkkonen collaborator Penn
David Alexander Kahn collaborator 2011- Penn
Teresa Pegors collaborator 2014-2015 Penn
BETA: Related publications

Publications

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Mattar MG, Lengyel M. (2022) Planning in the brain. Neuron
Agrawal M, Mattar MG, Cohen JD, et al. (2021) The temporal dynamics of opportunity costs: A normative account of cognitive fatigue and boredom. Psychological Review
Liu Y, Mattar MG, Behrens TEJ, et al. (2021) Experience replay is associated with efficient nonlocal learning. Science (New York, N.Y.). 372
Tang E, Mattar MG, Giusti C, et al. (2019) Effective learning is accompanied by high-dimensional and efficient representations of neural activity. Nature Neuroscience
Lee RS, Mattar MG, Parker NF, et al. (2019) Reward prediction error does not explain movement selectivity in DMS-projecting dopamine neurons. Elife. 8
Lee RS, Mattar MG, Parker NF, et al. (2019) Author response: Reward prediction error does not explain movement selectivity in DMS-projecting dopamine neurons Elife
Mattar MG, Carter MV, Zebrowitz MS, et al. (2018) Individual differences in response precision correlate with adaptation bias. Journal of Vision. 18: 18
Mattar MG, Daw ND. (2018) Prioritized memory access explains planning and hippocampal replay. Nature Neuroscience. 21: 1609-1617
Mattar MG, Olkkonen M, Epstein RA, et al. (2018) Adaptation decorrelates shape representations. Nature Communications. 9: 3812
Mattar MG, Thompson-Schill SL, Bassett DS. (2018) The network architecture of value learning. Network Neuroscience (Cambridge, Mass.). 2: 128-149
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