Hi all! I have an aversive learning task, in which participant is watching two stimuli (one at a time). One is associated with shocks (30% of the times) and the other is neve paired with shock. We measure SCR as a way to assess if aversive learning had occurred. Now, I try to build a Bayesian mode…

OK. I have played with the number of trials. Things seem much better now. In 60+ trials the recovery is relatively good. Using the following pymc model with pm.Model() as mB: # betaHyper= pm.Normal('betaH', 0, 1) alpha = pm.Beta('alpha', 1,1, shape=n_subj) beta = pm.Normal('beta',0…

Reinforcement learning - help building a model

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orduek December 28, 2021, 6:55am 13

Just FYI if people are interested.
I’ve uploaded the simulation script + different models to recover the alpha parameter to this github repository.
https://github.com/orduek/aversive_learning_simulation

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Reinforcement learning - help building a model

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