
Our lab uses diverse methods, including computational models and neuroimaging, to understand human learning and planning. We draw from reinforcement learning and bayesian models of cognition to model these processes and their breakdown in psychopathology.
We are part of the Department of Psychology at Bar-Ilan University, near Tel Aviv. We welcome prospective trainees from psychology, neuroscience, computer science, and engineering.
Watch a TED-style talk describing our research here:
news
Jul 21, 2025 | Sharp lab wins a large grant (~ 1 million USD) to investigate computations of planning efficiency and inefficiency in health and psychopathology! |
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Jan 25, 2025 | Paul will chair a symposium at upcoming computational psychiatry conference on cognitive map biases in psychopathology |
Nov 24, 2024 | Post-doc Marine Hainguerlot begins starts as inaugural Sharp Lab member! |
Nov 12, 2024 | Article on altered planning in anxiety accepted at Trends in Cognitive Sciences! |
Jul 17, 2024 | Paul wins Azrieli Faculty Fellowship! |