Marcelo Mattar
Assistant Professor
Studies computational models of planning, memory replay and decision making, linking reinforcement learning to brain function.
Marcelo Mattar's lab at NYU works on neuroscience & brain-computer interfaces and reinforcement learning. 7 papers since 2023, 2 at top venues, mostly Nature. 7 PhD students and 3 master's students. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 29%
- PhD students
- 7
- MS students
- 3
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 2
- 3 papers2024 · T1 0
- 1 papers2023 · T1 0
T1 venuesOtherVenues: Nature
Research focuspaper titles that use each topic's words
- Neuroscience & brain-computer interfaces0 papers
- Reinforcement learning0 papers
- function0 papers
- linking0 papers
- psychology0 papers
Paper list
From the lab homepage.
20253 papers
- Nature (T1)A Foundation Model to Predict and Capture Human Cognition
- Nature (T1)Discovering Cognitive Strategies with Tiny Recurrent Neural Networks
- Trends in Cognitive SciencesLooking Deeper into the Algorithms underlying Human Planning
20243 papers
- Nature NeuroscienceA Recurrent Network Model of Planning Explains Hippocampal Replay and Human Behavior
- Science AdvancesEmergence and Reconfiguration of Modular Structure for Artificial Neural Networks during Continual Familiarity Detection
- Psychological ReviewEpisodic Retrieval for Model-Based Evaluation in Sequential Decision Tasks
20231 paper
- Journal of VisionEstimating the Planning Complexity of Visual Subgoals
Where alumni went4 listed
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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- Papers
- The lab homepage
- Members
- Lab homepage
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- Lab homepage
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