Executive modulation of brain reward systems endows goals with value
McDougle, S. D.; Ballard, I. C.; Baribault, B.; Bishop, S. J.; Collins, A. G. E.
Show abstract
People often learn from the outcomes of their actions, even when these outcomes do not involve material rewards or punishments. How does our brain provide this flexibility? We combined behavior, computational modeling, and functional neuroimaging to probe whether learning from transient goals harnesses the same circuitry that supports learning from secondary reinforcers. Behavior and neuroimaging revealed that "one-shot" transient goals (abstract fractal images seen once) can act as a substitute for rewards during instrumental learning, and produce reliable reward-like signals in dopaminergic reward circuits. Moreover, we found evidence that prefrontal correlates of executive control may play a role in shaping these responses in reward circuits. These results suggest that learning from abstract goal outcomes is supported by an interplay between high-level representations in prefrontal cortex and low-level responses in subcortical reward circuits. This interaction may allow humans to perform reinforcement learning over flexible, arbitrarily abstract reward functions.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Dissociable Neural Correlates of Uncertainty Underlie Different Exploration Strategies 98%
- Dynamically shifting from compositional to conjunctive brain representations supports cognitive task learning 98%
- Dynamic targeting enables domain-general inhibitory control over action and thought by the prefrontal cortex. 97%
Similar papers in this journal
- Neural mechanisms of credit assignment for inferred relationships in a structured world 99%
- Neuro-computational account of arbitration between imitation and emulation during human observational learning 98%
- The representation and valuation of subgoals in the human brain during model-based hierarchical behavior 97%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.