pcbi.1011678.s005.pdf (72.83 kB)
Action prediction for Dezfouli et al., 2019 [9] dataset.
journal contribution
posted on 2024-01-04, 18:26 authored by Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan ShaharSummary table of the raw results presented in the main text (see Fig 3A).
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found better performancedescriptive modeling paradigmrecurrent neural networklikelihood rl methodknown rl parametershumans varied dynamicallyrl agents performingtwo independent datasetsstudy human behaviorrnn ), wherebyarmed bandit taskneural network modelstheoretical rl modelshumans performingneural networksterm theoreticalnormative modelsused extensivelytrial behaviorthree studiestask phasestress interpretabilitystationary maximumsecond datasetrnn comparedpredictive powerpredictive capabilitiespredict triallimited interpretabilityhealthy controlsfirst validatefirst datasetexploration strategiesdescribe differences
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