Marcelo G. Mattar

New York University — United States

Neuroscience · Life Sciences

23h-index2.5kcitations105works5.12yr avg
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Research Topics

Neural dynamics and brain function(40), Functional Brain Connectivity Studies(27), Visual perception and processing mechanisms(14), Neural and Behavioral Psychology Studies(12), Neural Networks and Applications(12)

Publications105 total

Building compositional tasks with shared neural subspaces
Nature·2025· 4 citedOpen Access
A rational information gathering account of infant habituation.
Behavioral Neuroscience·2025Open Access
Humans Select Subgoals That Balance Immediate and Future Cognitive Costs During Physical Assembly
Cognitive Science·2025· 1 citedOpen Access
Time Spent Thinking in Online Chess Reflects the Value of Computation
Cognitive Science·2025Open Access
A neural network model of free recall learns multiple memory strategies
2025Open Access
Rational decisions in multi-step environments with few rollouts
2025Open Access
Sensory Compression as a Unifying Principle for Action Chunking and Time Coding in the Brain
2025Open Access
Rational decisions in multi-step environments with few rollouts
2025Open Access
Human Strategy Adaptation in Reinforcement Learning Resembles Policy Gradient Ascent
2025Open Access
Task-structured Modularity Emerges in Artificial Networks and Aligns with Brain Architecture
2025Open Access
DynamicRL: Data-Driven Estimation of Trial-by-Trial Reinforcement Learning Parameters
2025· 1 citedOpen Access
Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering
2025Open Access
Humans Learn to Weight Evidence Unevenly Over Time
2025Open Access
Looking deeper into the algorithms underlying human planning
Trends in Cognitive Sciences·2025· 2 cited
Discovering cognitive strategies with tiny recurrent neural networks
Nature·2025· 23 citedOpen Access
A foundation model to predict and capture human cognition
Nature·2025· 50 citedOpen Access
Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering
2025Open Access
Humans Learn to Weight Evidence Unevenly Over Time
2025Open Access
DynamicRL: Data-Driven Estimation of Trial-by-Trial Reinforcement Learning Parameters
2025· 1 citedOpen Access
Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations.
PubMed·2025Open Access
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Frequent Co-authors

Danielle S. Bassett(16), Nathaniel D. Daw(12), Scott T. Grafton(6), Sharon L. Thompson‐Schill(6), Geoffrey K. Aguirre(6), Nicholas F. Wymbs(5), Evan M. Russek(5), Marcel Binz(4), Elif Akata(4), Matthias Bethge(4), Franziska Brändle(4), Fred Callaway(4), Julian Coda-Forno(4), Peter Dayan(4), Can Demircan(4), Maria K. Eckstein(4), Noémi Éltető(4), Thomas L. Griffiths(4), Susanne Haridi(4), Jian Li(4)