We use computational models to explain human learning and planning. We draw from reinforcement learning and bayesian frameworks to study basic cognition and 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
| Oct 29, 2025 | Post-Doc Rami Nasser (PhD Tel-Aviv U), MA fellows Dafna Yavetz (BA Princeton), Noa Yadid (BA BIU), and Adi Pizanti (BA Tel-Aviv College) begin as new lab members!!! |
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| Jul 21, 2025 | Sharp lab wins a large grant (~ 1 million USD) to investigate computations of planning efficiency and inefficiency in health and psychopathology! |
| 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! |