pcbi.1011678.s003.pdf (62.4 kB)
Action prediction and RL parameter recovery of simulated test agents.
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 validation study of the main text (see Fig 2A).
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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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