Executive Function Assigns Value to Novel Goal-Congruent Outcomes
| Autor: | Sonia J. Bishop, Anne G.E. Collins, Beth Baribault, Samuel D. McDougle, Ian C. Ballard |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Value (ethics)
reinforcement learning 1.2 Psychological and socioeconomic processes striatum 1.1 Normal biological development and functioning Cognitive Neuroscience media_common.quotation_subject education Control (management) Prefrontal Cortex Basic Behavioral and Social Science Executive Function 03 medical and health sciences Cellular and Molecular Neuroscience value 0302 clinical medicine Reward Neuroimaging Clinical Research Underpinning research Functional neuroimaging Behavioral and Social Science Humans Psychology 2.1 Biological and endogenous factors Reinforcement learning Aetiology Function (engineering) Prefrontal cortex 030304 developmental biology media_common Motivation 0303 health sciences Neurosciences Flexibility (personality) Experimental Psychology Reinforcement Brain Disorders Mental Health Original Article Cognitive Sciences Reinforcement Psychology Goals 030217 neurology & neurosurgery Cognitive psychology |
| Zdroj: | Cerebral cortex (New York, N.Y. : 1991), vol 32, iss 1 Cereb Cortex |
| ISSN: | 1460-2199 1047-3211 |
| Popis: | 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 abstract novel outcomes harnesses the same circuitry that supports learning from familiar secondary reinforcers. Behavior and neuroimaging revealed that novel images can act as a substitute for rewards during instrumental learning, producing reliable reward-like signals in dopaminergic circuits. Moreover, we found evidence that prefrontal correlates of executive control may play a role in shaping flexible responses in reward circuits. These results suggest that learning from novel 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 for human reinforcement learning over arbitrarily abstract reward functions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|