Learning the payoffs and costs of actions
A set of sub-cortical nuclei called basal ganglia is critical for learning the values of actions. The basal ganglia include two pathways, which have been associated with approach and avoid behavior respectively and are differentially modulated by dopamine projections from the midbrain. Inspired by t...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
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Public Library of Science
2019
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| _version_ | 1797065561443663872 |
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| author | Möller, M Bogacz, R |
| author_facet | Möller, M Bogacz, R |
| author_sort | Möller, M |
| collection | OXFORD |
| description | A set of sub-cortical nuclei called basal ganglia is critical for learning the values of actions. The basal ganglia include two pathways, which have been associated with approach and avoid behavior respectively and are differentially modulated by dopamine projections from the midbrain. Inspired by the influential opponent actor learning model, we demonstrate that, under certain circumstances, these pathways may represent learned estimates of the positive and negative consequences (payoffs and costs) of individual actions. In the model, the level of dopamine activity encodes the motivational state and controls to what extent payoffs and costs enter the overall evaluation of actions. We show that a set of previously proposed plasticity rules is suitable to extract payoffs and costs from a prediction error signal if they occur at different moments in time. For those plasticity rules, successful learning requires differential effects of positive and negative outcome prediction errors on the two pathways and a weak decay of synaptic weights over trials. We also confirm through simulations that the model reproduces drug-induced changes of willingness to work, as observed in classical experiments with the D2-antagonist haloperidol. |
| first_indexed | 2024-03-06T21:30:23Z |
| format | Journal article |
| id | oxford-uuid:4480d75f-d328-4621-9174-e58daba3ef08 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T21:30:23Z |
| publishDate | 2019 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | oxford-uuid:4480d75f-d328-4621-9174-e58daba3ef082022-03-26T15:01:52ZLearning the payoffs and costs of actionsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:4480d75f-d328-4621-9174-e58daba3ef08EnglishSymplectic Elements at OxfordPublic Library of Science2019Möller, MBogacz, RA set of sub-cortical nuclei called basal ganglia is critical for learning the values of actions. The basal ganglia include two pathways, which have been associated with approach and avoid behavior respectively and are differentially modulated by dopamine projections from the midbrain. Inspired by the influential opponent actor learning model, we demonstrate that, under certain circumstances, these pathways may represent learned estimates of the positive and negative consequences (payoffs and costs) of individual actions. In the model, the level of dopamine activity encodes the motivational state and controls to what extent payoffs and costs enter the overall evaluation of actions. We show that a set of previously proposed plasticity rules is suitable to extract payoffs and costs from a prediction error signal if they occur at different moments in time. For those plasticity rules, successful learning requires differential effects of positive and negative outcome prediction errors on the two pathways and a weak decay of synaptic weights over trials. We also confirm through simulations that the model reproduces drug-induced changes of willingness to work, as observed in classical experiments with the D2-antagonist haloperidol. |
| spellingShingle | Möller, M Bogacz, R Learning the payoffs and costs of actions |
| title | Learning the payoffs and costs of actions |
| title_full | Learning the payoffs and costs of actions |
| title_fullStr | Learning the payoffs and costs of actions |
| title_full_unstemmed | Learning the payoffs and costs of actions |
| title_short | Learning the payoffs and costs of actions |
| title_sort | learning the payoffs and costs of actions |
| work_keys_str_mv | AT mollerm learningthepayoffsandcostsofactions AT bogaczr learningthepayoffsandcostsofactions |