Dopamine transients are sufficient and necessary for acquisition of model-based associations

Learning to predict reward is thought to be driven by dopaminergic prediction errors, which reflect discrepancies between actual and expected value. Here the authors show that learning to predict neutral events is also driven by prediction errors and that such value-neutral associative learning is a...

Ausführliche Beschreibung