pcbi.1011678.s006.pdf (64.97 kB)
Summary statistics of RL parameters estimations by diagnostic group.
journal contribution
posted on 2024-01-04, 18:26 authored by Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan ShaharSummary statistics of the trial-by-trial RL parameter estimation produced by t-RNN for each diagnostic group.
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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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