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Relation of inverse-temperature estimation with random choice.

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posted on 2024-01-04, 18:26 authored by Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar

The left panels show the trial-by-trial RL β parameter estimation of t-RNN (blue; divided by 20 to fit the scale) and a moving average calculation of the absolute value difference between the choice probabilities produced by t-RNN and random choice probability (red; window size of 10 trials) for three example subjects (one from each diagnostic group). The right panels show the corresponding Pearson correlation between the moving average choice probabilities and β parameter estimation of t-RNN (red dashed line denotes the identity). The results indicate a strong correlation between the two estimations.

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