معرفی
Marcelo Mattar is an Assistant Professor of Psychology and Neural Science at New York University, leading the Mattar Lab. His research focuses on the neural computations underlying memory, decision-making, and reinforcement learning. He holds a Ph.D. in Psychology from the University of Pennsylvania and has held academic positions at NYU, UC San Diego, and postdoctoral roles at Princeton University and the University of Cambridge. His work bridges computational neuroscience and artificial intelligence, aiming to model how the brain uses internal models for planning and decision-making.
Education:
- Ph.D. in Psychology (Computational and Cognitive Neuroscience), University of Pennsylvania, 2016
- M.A. in Statistics, University of Pennsylvania, 2016
- B.A. in Electronics Engineering, Instituto Tecnologico de Aeronautica, Brazil, 2010
Research Interests: The lab develops mathematical models of learning and decision-making, leveraging reinforcement learning, Bayesian statistics, and neural networks. Experiments involve human behavioral studies and neuroimaging, with collaborations in animal electrophysiology and computational psychiatry.
Key Contributions: His work explores how episodic memory and hippocampal replay support flexible decision-making. Recent studies highlight parallels between human cognition and AI systems, such as language models' metacognitive abilities and brain-inspired algorithms.
Awards:
- Newton International Fellowship, Royal Society (2018–2019)
Lab Team: The lab includes postdocs, PhD students, and undergraduates from diverse fields like cognitive science, neuroscience, and computer science. Current members are listed on the lab's website.
Lab Location: Meyer Hall, 6 Washington Place, New York, NY 10003.
