Author

Kyle Levin

Google DeepMind (United Kingdom)

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Animal Behavior & Cognition· 1

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Assay:behavioral assay· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:Drosophila· 1 Organism:human· 1 Approach:large language model· 1 Organism:rat· 1 Research Focus:software / tool· 1

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A. Anand· 1 shared A. DeviD· 1 shared A. NovikoviD· 1 shared Glenn C TurneriD· 1 shared K. PerliniD· 1 shared Kevin J. MilleriD· 1 shared Kimberly StachenfeldiD· 1 shared M. EcksteiniD· 1 shared

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2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

A. Anand

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1 paper

Recent·Most cited

Discovering Symbolic Cognitive Models from Human and Animal Behavior

P. Castro, Nenad Tomašev, A. Anand, N. Sharma, Rishika Mohanta, A. Dev, K. Perlin, S. Jain, Kyle Levin, Noémi Éltető, Will Dabney, A. Novikov, Glenn C Turner, M. Eckstein, Nathaniel D. Daw, , Kimberly Stachenfeld

LLM-driven evolutionary program synthesis (CogFunSearch) discovers interpretable Python cognitive models that predict bandit-task choices of humans, rats and fruit flies better than leading hand-designed models.

bioRxiv · Feb 5, 2025 · PreprintAnimal Behavior & Cognition✦ In-depth digest