Our lab uses computational models to explain human learning, planning and how they are altered in psychopathology. Located in Bar-Ilan’s brain center, we’re investigating how trait anxiety biases planning content, meta-control, and efficiency. To do so we use online tasks, advanced virtual reality, eye-tracking, and MEG.
The brain’s internal model of how things work: causal knowledge about the self and the world, and what is worth pursuing. It is what lets us plan, imagine and learn without having to act first.
Transition priors about oneself: what one can do and what one’s actions bring about — how controllable outcomes are, how one copes, how one is seen by others.
Transition priors about the environment: expectations about how situations unfold — what follows what, how likely harm is, and how long it lasts.
What matters at the deepest level — safety, connection, competence, understanding. They set the rewards that every task is evaluated against.
The specific model built for the situation at hand. Each inherits its structure from the priors and goals above it, so a bias higher up — overstating threat or understating control, as in anxiety — reshapes every task below.
Using world models to explain human variability and psychopathology
lab news
| Oct 17, 2026 | Our perspective paper with Rachel Bedder (Princeton) and Peter Hitchcock (Emory), Unravelling Repetitive Negative Thinking With Reinforcement Learning, was accepted at Clinical Psychological Science! |
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| Oct 04, 2026 | The lab welcomes new members Daniel Toledano (PhD candidate, Tel Aviv University), Diana Vrubel (MSc, Higher School of Economics), and Noam Gil-Adi (MA, Ben-Gurion University)! |
| Oct 01, 2026 | Dafna Yavetz was selected to attend NeuroBridges 2026, a fully funded summer school in neuroscience and decision making in Cluny, France (October 4–15). Congratulations Dafna! |
| Aug 25, 2026 | Our first lab publication! Article by Hadas Schiff and Paul B. Sharp in Topics in Cognitive Science shows that individuals high in trait worry undergeneralize actions learned under social threat when planning in novel contexts. |
| Jul 17, 2026 | The lab traveled to the Computational Psychiatry Conference 2026 at Yale, where Noa Yadid won a best poster award. Congratulations Noa! |
| Oct 29, 2025 | MA fellows Dafna Yavetz (BA Princeton), Noa Yadid (BA BIU), and Adi Pizanti (BA Tel-Aviv College) begin as new lab members!!! |
| 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! |
| Jul 17, 2024 | Paul wins Azrieli Faculty Fellowship! |
| Jul 16, 2024 | Article on predecessor representation accepted at Nature Human Behaviour! |