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ORCIDMarcelo G. Mattar
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2020 – today
- 2026
[i4]Prakhar Godara, Frederick Callaway, Marcelo G. Mattar:
Adversarial construction as a potential solution to the experiment design problem in large task spaces. CoRR abs/2602.03172 (2026)- 2025
- [j10]Evan M. Russek
, Daniel Acosta-kane, Bas van Opheusden, Marcelo G. Mattar, Thomas L. Griffiths:
Time Spent Thinking in Online Chess Reflects the Value of Computation. Cogn. Sci. 49(10) (2025) - [j9]Felix J. Binder, Marcelo Gomes Mattar, David Kirsh, Judith E. Fan:
Humans Select Subgoals That Balance Immediate and Future Cognitive Costs During Physical Assembly. Cogn. Sci. 49(11) (2025) - [j8]Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz:
A foundation model to predict and capture human cognition. Nat. 644(8078): 1002-1009 (2025) - [c20]Ionatan Kuperwajs, Evan M. Russek, Lisa Schut, Yotam Sagiv, Marcelo G. Mattar, Wei Ji Ma, Tom Griffiths:
Exploring resource-rational planning under time pressure in online chess. CogSci 2025 - [c19]Denis C. L. Lan, Marcelo G. Mattar:
Characterizing Human Planning on Large, Real-World Conceptual Networks. CogSci 2025 - [c18]Lisa Schut, Evan M. Russek, Ionatan Kuperwajs, Marcelo G. Mattar, Wei Ji Ma, Tom Griffiths:
Learning in online chess increases with more time spent thinking and diversity of experience. CogSci 2025 - [c17]Huadong Xiong, Ji-An Li, Marcelo G. Mattar, Robert C. Wilson:
DynamicRL: Data-Driven Estimation of Trial-by-Trial Reinforcement Learning Parameters. CogSci 2025 - [c16]Huadong Xiong, Ji-An Li, Marcelo G. Mattar, Robert C. Wilson:
Humans Learn to Weight Evidence Unevenly Over Time. CogSci 2025 - [c15]Huadong Xiong, Ji-An Li, Marcelo G. Mattar, Robert C. Wilson:
Human Adaptation of Learning Strategies Resembles Policy Gradients. CogSci 2025 - [c14]Zhuojun Ying, Frederick Callaway, Roy Fox, Anastasia Kiyonaga, Marcelo G. Mattar:
A Variational Neural Network Model of Resource-Rational Reward Encoding in Human Planning. CogSci 2025 - [c13]Doris Yu, Frederick Callaway, Marcelo G. Mattar:
Counterfactual error-monitoring in human planning. CogSci 2025 - [i3]Ji-An Li, Huadong Xiong, Robert C. Wilson, Marcelo G. Mattar, Marcus K. Benna:
Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations. CoRR abs/2505.13763 (2025) - 2024
- [c12]Frederick Callaway, Miaomiao Yu, Marcelo G. Mattar:
Revealing human planning strategies with eye-tracking. CogSci 2024 - [c11]Sixing Chen, Kristopher T. Jensen, Marcelo G. Mattar:
Some and Done? Temporally extended decisions with very few rollouts. CogSci 2024 - [c10]Moufan Li, Kristopher T. Jensen, Marcelo G. Mattar:
A neural network model trained on free recall learns the method of loci. CogSci 2024 - [c9]Jonathan Nicholas, Marcelo G. Mattar:
Humans use episodic memory to access features of past experience for flexible decision making. CogSci 2024 - [c8]Umesh K. Singla, Marcelo G. Mattar:
Temporal Persistence Explains Mice Exploration in a Labyrinth. CogSci 2024 - [c7]Zhuojun Ying, Frederick Callaway, Anastasia Kiyonaga, Marcelo G. Mattar:
Resource-Rational Encoding of Reward Information in Planning. CogSci 2024 - [c6]Corey Yishan Zhou, Deborah Talmi, Nathaniel D. Daw, Marcelo G. Mattar:
Temporally extended decision-making through episodic sampling. CogSci 2024 - [c5]Ji-An Li, Corey Yishan Zhou, Marcus K. Benna, Marcelo G. Mattar:
Linking In-context Learning in Transformers to Human Episodic Memory. NeurIPS 2024 - [i2]Ji-An Li, Corey Yishan Zhou, Marcus K. Benna, Marcelo G. Mattar:
Linking In-context Learning in Transformers to Human Episodic Memory. CoRR abs/2405.14992 (2024) - [i1]Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz:
Centaur: a foundation model of human cognition. CoRR abs/2410.20268 (2024) - 2023
- [c4]Felix Jedidja Binder, Marcelo Gomes Mattar, David Kirsh, Judith E. Fan:
Humans choose visual subgoals to reduce cognitive cost. CogSci 2023 - [c3]Marcelo Gomes Mattar, Judith E. Fan, Wai Keen Vong, Lionel Wong:
How does the mind discover useful abstractions? CogSci 2023 - 2021
- [c2]Felix Jedidja Binder, Marcelo Gomes Mattar, David Kirsh, Judith E. Fan:
Visual scoping operations for physical assembly. CogSci 2021 - [c1]William P. McCarthy, Marcelo Gomes Mattar, David Kirsh, Judith E. Fan:
Connecting perceptual and procedural abstractions in physical construction. CogSci 2021
2010 – 2019
- 2018
- [j7]Ankit N. Khambhati, Marcelo Gomes Mattar, Nicholas F. Wymbs, Scott T. Grafton, Danielle S. Bassett:
Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration. NeuroImage 166: 385-399 (2018) - [j6]Pranav G. Reddy, Marcelo Gomes Mattar, Andrew C. Murphy, Nicholas F. Wymbs, Scott T. Grafton, Theodore D. Satterthwaite, Danielle S. Bassett:
Brain state flexibility accompanies motor-skill acquisition. NeuroImage 171: 135-147 (2018) - [j5]Marcelo Gomes Mattar, Nicholas F. Wymbs, Andrew S. Bock, Geoffrey Karl Aguirre, Scott T. Grafton, Danielle S. Bassett:
Predicting future learning from baseline network architecture. NeuroImage 172: 107-117 (2018) - 2017
- [j4]Shi Gu, Richard F. Betzel, Marcelo Gomes Mattar, Matthew Cieslak, Philip R. Delio, Scott T. Grafton, Fabio Pasqualetti, Danielle S. Bassett:
Optimal trajectories of brain state transitions. NeuroImage 148: 305-317 (2017) - [j3]Arian Ashourvan, Shi Gu, Marcelo Gomes Mattar, Jean M. Vettel, Danielle S. Bassett:
The energy landscape underpinning module dynamics in the human brain connectome. NeuroImage 157: 364-380 (2017) - 2015
- [j2]Marcelo Gomes Mattar, Michael W. Cole, Sharon L. Thompson-Schill, Danielle S. Bassett:
A Functional Cartography of Cognitive Systems. PLoS Comput. Biol. 11(12) (2015) - 2011
- [j1]Geoffrey Karl Aguirre, Marcelo Gomes Mattar, Lucía Magis-Weinberg:
de Bruijn cycles for neural decoding. NeuroImage 56(3): 1293-1300 (2011)
Coauthor Index
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