L-DOPA Reduces Model-Free Control of Behavior by Attenuating the Transfer of Value to Action Article Swipe
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1101/086116
Dopamine is a key neurotransmitter in reinforcement learning and action control. Recent findings suggest that these components are inherently entangled. Here, we tested if increases in dopamine tone by administration of L-DOPA upregulate deliberative “model-based” control of behavior or reflexive “model-free” control as predicted by dual-control reinforcement-learning models. Alternatively, L-DOPA may impair learning as suggested by “value” or “thrift” theories of dopamine. To this end, we employed a two-stage Markov decision-task to investigate the effect of L-DOPA (randomized cross-over) on behavioral control while brain activation was measured using fMRI. L-DOPA led to attenuated model-free control of behavior as indicated by the reduced impact of reward on choice and increased stochasticity of model-free choices. Correspondingly, in the brain, L-DOPA decreased the effect of reward while prediction-error signals were unaffected. Taken together, our results suggest that L-DOPA reduces model-free control of behavior by attenuating the transfer of value to action.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/086116
- https://www.biorxiv.org/content/biorxiv/early/2016/11/07/086116.full.pdf
- OA Status
- green
- Cited By
- 10
- References
- 58
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2554712429
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2554712429Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/086116Digital Object Identifier
- Title
-
L-DOPA Reduces Model-Free Control of Behavior by Attenuating the Transfer of Value to ActionWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-11-07Full publication date if available
- Authors
-
Nils B. Kroemer, Ying Lee, Shakoor Pooseh, Ben Eppinger, Thomas Goschke, Michael N. SmolkaList of authors in order
- Landing page
-
https://doi.org/10.1101/086116Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2016/11/07/086116.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2016/11/07/086116.full.pdfDirect OA link when available
- Concepts
-
Dopamine, Reinforcement learning, Neurotransmitter, Action (physics), Neuroscience, Psychology, Control (management), Levodopa, Value (mathematics), Dual (grammatical number), Reinforcement, Computer science, Medicine, Artificial intelligence, Physics, Social psychology, Internal medicine, Machine learning, Disease, Central nervous system, Quantum mechanics, Parkinson's disease, Art, LiteratureTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2022: 1, 2021: 2, 2020: 2, 2019: 1Per-year citation counts (last 5 years)
- References (count)
-
58Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2554712429 |
|---|---|
| doi | https://doi.org/10.1101/086116 |
| ids.doi | https://doi.org/10.1101/086116 |
| ids.mag | 2554712429 |
| ids.openalex | https://openalex.org/W2554712429 |
| fwci | 0.61635753 |
| type | preprint |
| title | L-DOPA Reduces Model-Free Control of Behavior by Attenuating the Transfer of Value to Action |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10042 |
| topics[0].field.id | https://openalex.org/fields/28 |
| topics[0].field.display_name | Neuroscience |
| topics[0].score | 0.9987000226974487 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2805 |
| topics[0].subfield.display_name | Cognitive Neuroscience |
| topics[0].display_name | Neural and Behavioral Psychology Studies |
| topics[1].id | https://openalex.org/T10241 |
| topics[1].field.id | https://openalex.org/fields/28 |
| topics[1].field.display_name | Neuroscience |
| topics[1].score | 0.9975000023841858 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2805 |
| topics[1].subfield.display_name | Cognitive Neuroscience |
| topics[1].display_name | Functional Brain Connectivity Studies |
| topics[2].id | https://openalex.org/T10581 |
| topics[2].field.id | https://openalex.org/fields/28 |
| topics[2].field.display_name | Neuroscience |
| topics[2].score | 0.9957000017166138 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2805 |
| topics[2].subfield.display_name | Cognitive Neuroscience |
| topics[2].display_name | Neural dynamics and brain function |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C513476851 |
| concepts[0].level | 2 |
| concepts[0].score | 0.721534788608551 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q170304 |
| concepts[0].display_name | Dopamine |
| concepts[1].id | https://openalex.org/C97541855 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7174575328826904 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q830687 |
| concepts[1].display_name | Reinforcement learning |
| concepts[2].id | https://openalex.org/C2776219046 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6296389698982239 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q162657 |
| concepts[2].display_name | Neurotransmitter |
| concepts[3].id | https://openalex.org/C2780791683 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6098865866661072 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q846785 |
| concepts[3].display_name | Action (physics) |
| concepts[4].id | https://openalex.org/C169760540 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5333818197250366 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[4].display_name | Neuroscience |
| concepts[5].id | https://openalex.org/C15744967 |
| concepts[5].level | 0 |
| concepts[5].score | 0.49063387513160706 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[5].display_name | Psychology |
| concepts[6].id | https://openalex.org/C2775924081 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4622634947299957 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q55608371 |
| concepts[6].display_name | Control (management) |
| concepts[7].id | https://openalex.org/C2780304432 |
| concepts[7].level | 4 |
| concepts[7].score | 0.46010175347328186 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q300989 |
| concepts[7].display_name | Levodopa |
| concepts[8].id | https://openalex.org/C2776291640 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4570498764514923 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2912517 |
| concepts[8].display_name | Value (mathematics) |
| concepts[9].id | https://openalex.org/C2780980858 |
| concepts[9].level | 2 |
| concepts[9].score | 0.452400803565979 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q110022 |
| concepts[9].display_name | Dual (grammatical number) |
| concepts[10].id | https://openalex.org/C67203356 |
| concepts[10].level | 2 |
| concepts[10].score | 0.4428767263889313 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1321905 |
| concepts[10].display_name | Reinforcement |
| concepts[11].id | https://openalex.org/C41008148 |
| concepts[11].level | 0 |
| concepts[11].score | 0.27279311418533325 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[11].display_name | Computer science |
| concepts[12].id | https://openalex.org/C71924100 |
| concepts[12].level | 0 |
| concepts[12].score | 0.20070374011993408 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[12].display_name | Medicine |
| concepts[13].id | https://openalex.org/C154945302 |
| concepts[13].level | 1 |
| concepts[13].score | 0.1571071743965149 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[13].display_name | Artificial intelligence |
| concepts[14].id | https://openalex.org/C121332964 |
| concepts[14].level | 0 |
| concepts[14].score | 0.15270867943763733 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[14].display_name | Physics |
| concepts[15].id | https://openalex.org/C77805123 |
| concepts[15].level | 1 |
| concepts[15].score | 0.15096473693847656 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q161272 |
| concepts[15].display_name | Social psychology |
| concepts[16].id | https://openalex.org/C126322002 |
| concepts[16].level | 1 |
| concepts[16].score | 0.13954094052314758 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[16].display_name | Internal medicine |
| concepts[17].id | https://openalex.org/C119857082 |
| concepts[17].level | 1 |
| concepts[17].score | 0.09189808368682861 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[17].display_name | Machine learning |
| concepts[18].id | https://openalex.org/C2779134260 |
| concepts[18].level | 2 |
| concepts[18].score | 0.0836588442325592 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q12136 |
| concepts[18].display_name | Disease |
| concepts[19].id | https://openalex.org/C529278444 |
| concepts[19].level | 2 |
| concepts[19].score | 0.08108913898468018 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q47273 |
| concepts[19].display_name | Central nervous system |
| concepts[20].id | https://openalex.org/C62520636 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[20].display_name | Quantum mechanics |
| concepts[21].id | https://openalex.org/C2779734285 |
| concepts[21].level | 3 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q11085 |
| concepts[21].display_name | Parkinson's disease |
| concepts[22].id | https://openalex.org/C142362112 |
| concepts[22].level | 0 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q735 |
| concepts[22].display_name | Art |
| concepts[23].id | https://openalex.org/C124952713 |
| concepts[23].level | 1 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q8242 |
| concepts[23].display_name | Literature |
| keywords[0].id | https://openalex.org/keywords/dopamine |
| keywords[0].score | 0.721534788608551 |
| keywords[0].display_name | Dopamine |
| keywords[1].id | https://openalex.org/keywords/reinforcement-learning |
| keywords[1].score | 0.7174575328826904 |
| keywords[1].display_name | Reinforcement learning |
| keywords[2].id | https://openalex.org/keywords/neurotransmitter |
| keywords[2].score | 0.6296389698982239 |
| keywords[2].display_name | Neurotransmitter |
| keywords[3].id | https://openalex.org/keywords/action |
| keywords[3].score | 0.6098865866661072 |
| keywords[3].display_name | Action (physics) |
| keywords[4].id | https://openalex.org/keywords/neuroscience |
| keywords[4].score | 0.5333818197250366 |
| keywords[4].display_name | Neuroscience |
| keywords[5].id | https://openalex.org/keywords/psychology |
| keywords[5].score | 0.49063387513160706 |
| keywords[5].display_name | Psychology |
| keywords[6].id | https://openalex.org/keywords/control |
| keywords[6].score | 0.4622634947299957 |
| keywords[6].display_name | Control (management) |
| keywords[7].id | https://openalex.org/keywords/levodopa |
| keywords[7].score | 0.46010175347328186 |
| keywords[7].display_name | Levodopa |
| keywords[8].id | https://openalex.org/keywords/value |
| keywords[8].score | 0.4570498764514923 |
| keywords[8].display_name | Value (mathematics) |
| keywords[9].id | https://openalex.org/keywords/dual |
| keywords[9].score | 0.452400803565979 |
| keywords[9].display_name | Dual (grammatical number) |
| keywords[10].id | https://openalex.org/keywords/reinforcement |
| keywords[10].score | 0.4428767263889313 |
| keywords[10].display_name | Reinforcement |
| keywords[11].id | https://openalex.org/keywords/computer-science |
| keywords[11].score | 0.27279311418533325 |
| keywords[11].display_name | Computer science |
| keywords[12].id | https://openalex.org/keywords/medicine |
| keywords[12].score | 0.20070374011993408 |
| keywords[12].display_name | Medicine |
| keywords[13].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[13].score | 0.1571071743965149 |
| keywords[13].display_name | Artificial intelligence |
| keywords[14].id | https://openalex.org/keywords/physics |
| keywords[14].score | 0.15270867943763733 |
| keywords[14].display_name | Physics |
| keywords[15].id | https://openalex.org/keywords/social-psychology |
| keywords[15].score | 0.15096473693847656 |
| keywords[15].display_name | Social psychology |
| keywords[16].id | https://openalex.org/keywords/internal-medicine |
| keywords[16].score | 0.13954094052314758 |
| keywords[16].display_name | Internal medicine |
| keywords[17].id | https://openalex.org/keywords/machine-learning |
| keywords[17].score | 0.09189808368682861 |
| keywords[17].display_name | Machine learning |
| keywords[18].id | https://openalex.org/keywords/disease |
| keywords[18].score | 0.0836588442325592 |
| keywords[18].display_name | Disease |
| keywords[19].id | https://openalex.org/keywords/central-nervous-system |
| keywords[19].score | 0.08108913898468018 |
| keywords[19].display_name | Central nervous system |
| language | en |
| locations[0].id | doi:10.1101/086116 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402567 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| locations[0].source.host_organization | https://openalex.org/I2750212522 |
| locations[0].source.host_organization_name | Cold Spring Harbor Laboratory |
| locations[0].source.host_organization_lineage | https://openalex.org/I2750212522 |
| locations[0].license | cc-by-nd |
| locations[0].pdf_url | https://www.biorxiv.org/content/biorxiv/early/2016/11/07/086116.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/086116 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5077959151 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9552-3781 |
| authorships[0].author.display_name | Nils B. Kroemer |
| authorships[0].countries | DE |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I78650965 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany |
| authorships[0].institutions[0].id | https://openalex.org/I78650965 |
| authorships[0].institutions[0].ror | https://ror.org/042aqky30 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I78650965 |
| authorships[0].institutions[0].country_code | DE |
| authorships[0].institutions[0].display_name | Technische Universität Dresden |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Nils B. Kroemer |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany |
| authorships[1].author.id | https://openalex.org/A5065208117 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-9491-4919 |
| authorships[1].author.display_name | Ying Lee |
| authorships[1].countries | DE |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I78650965 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany |
| authorships[1].institutions[0].id | https://openalex.org/I78650965 |
| authorships[1].institutions[0].ror | https://ror.org/042aqky30 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I78650965 |
| authorships[1].institutions[0].country_code | DE |
| authorships[1].institutions[0].display_name | Technische Universität Dresden |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Ying Lee |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany |
| authorships[2].author.id | https://openalex.org/A5016321891 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5441-9507 |
| authorships[2].author.display_name | Shakoor Pooseh |
| authorships[2].countries | DE |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I78650965 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany |
| authorships[2].institutions[0].id | https://openalex.org/I78650965 |
| authorships[2].institutions[0].ror | https://ror.org/042aqky30 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I78650965 |
| authorships[2].institutions[0].country_code | DE |
| authorships[2].institutions[0].display_name | Technische Universität Dresden |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Shakoor Pooseh |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany |
| authorships[3].author.id | https://openalex.org/A5064611413 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-3639-2459 |
| authorships[3].author.display_name | Ben Eppinger |
| authorships[3].countries | CA, DE |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I78650965 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Psychology, Technische Universität Dresden, Dresden, Germany |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I60158472 |
| authorships[3].affiliations[1].raw_affiliation_string | Department of Psychology, Concordia University, Montreal, Canada |
| authorships[3].institutions[0].id | https://openalex.org/I60158472 |
| authorships[3].institutions[0].ror | https://ror.org/0420zvk78 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I60158472 |
| authorships[3].institutions[0].country_code | CA |
| authorships[3].institutions[0].display_name | Concordia University |
| authorships[3].institutions[1].id | https://openalex.org/I78650965 |
| authorships[3].institutions[1].ror | https://ror.org/042aqky30 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I78650965 |
| authorships[3].institutions[1].country_code | DE |
| authorships[3].institutions[1].display_name | Technische Universität Dresden |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Ben Eppinger |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Psychology, Concordia University, Montreal, Canada, Department of Psychology, Technische Universität Dresden, Dresden, Germany |
| authorships[4].author.id | https://openalex.org/A5001045864 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-8975-7397 |
| authorships[4].author.display_name | Thomas Goschke |
| authorships[4].countries | DE |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I78650965 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Psychology, Technische Universität Dresden, Dresden, Germany |
| authorships[4].institutions[0].id | https://openalex.org/I78650965 |
| authorships[4].institutions[0].ror | https://ror.org/042aqky30 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I78650965 |
| authorships[4].institutions[0].country_code | DE |
| authorships[4].institutions[0].display_name | Technische Universität Dresden |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Thomas Goschke |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Psychology, Technische Universität Dresden, Dresden, Germany |
| authorships[5].author.id | https://openalex.org/A5063406820 |
| authorships[5].author.orcid | https://orcid.org/0000-0001-5398-5569 |
| authorships[5].author.display_name | Michael N. Smolka |
| authorships[5].countries | DE |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I78650965 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany |
| authorships[5].institutions[0].id | https://openalex.org/I78650965 |
| authorships[5].institutions[0].ror | https://ror.org/042aqky30 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I78650965 |
| authorships[5].institutions[0].country_code | DE |
| authorships[5].institutions[0].display_name | Technische Universität Dresden |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Michael N. Smolka |
| authorships[5].is_corresponding | True |
| authorships[5].raw_affiliation_strings | Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.biorxiv.org/content/biorxiv/early/2016/11/07/086116.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | L-DOPA Reduces Model-Free Control of Behavior by Attenuating the Transfer of Value to Action |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10042 |
| primary_topic.field.id | https://openalex.org/fields/28 |
| primary_topic.field.display_name | Neuroscience |
| primary_topic.score | 0.9987000226974487 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2805 |
| primary_topic.subfield.display_name | Cognitive Neuroscience |
| primary_topic.display_name | Neural and Behavioral Psychology Studies |
| related_works | https://openalex.org/W2325084313, https://openalex.org/W2502518763, https://openalex.org/W2907007518, https://openalex.org/W3141458633, https://openalex.org/W3138140966, https://openalex.org/W2172073831, https://openalex.org/W1979539812, https://openalex.org/W2002717180, https://openalex.org/W4253442557, https://openalex.org/W3115723844 |
| cited_by_count | 10 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2022 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2021 |
| counts_by_year[2].cited_by_count | 2 |
| counts_by_year[3].year | 2020 |
| counts_by_year[3].cited_by_count | 2 |
| counts_by_year[4].year | 2019 |
| counts_by_year[4].cited_by_count | 1 |
| counts_by_year[5].year | 2018 |
| counts_by_year[5].cited_by_count | 3 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/086116 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402567 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| best_oa_location.source.host_organization | https://openalex.org/I2750212522 |
| best_oa_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| best_oa_location.license | cc-by-nd |
| best_oa_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2016/11/07/086116.full.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1101/086116 |
| primary_location.id | doi:10.1101/086116 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402567 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| primary_location.source.host_organization | https://openalex.org/I2750212522 |
| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| primary_location.license | cc-by-nd |
| primary_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2016/11/07/086116.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/086116 |
| publication_date | 2016-11-07 |
| publication_year | 2016 |
| referenced_works | https://openalex.org/W2156952192, https://openalex.org/W2103492232, https://openalex.org/W2102803424, https://openalex.org/W2165106227, https://openalex.org/W2158233904, https://openalex.org/W981533126, https://openalex.org/W2149878007, https://openalex.org/W1998274826, https://openalex.org/W1944839424, https://openalex.org/W2167362547, https://openalex.org/W2117726420, https://openalex.org/W2090801405, https://openalex.org/W2096648742, https://openalex.org/W2016202155, https://openalex.org/W1630806950, https://openalex.org/W2214962513, https://openalex.org/W2191449095, https://openalex.org/W2011451766, https://openalex.org/W2046713808, https://openalex.org/W2142586783, https://openalex.org/W2164961539, https://openalex.org/W2336029047, https://openalex.org/W2209452730, https://openalex.org/W2285329198, https://openalex.org/W1982670892, https://openalex.org/W2163647009, https://openalex.org/W2126680030, https://openalex.org/W2168122820, https://openalex.org/W2289068127, https://openalex.org/W2419503723, https://openalex.org/W2070871741, https://openalex.org/W2121761804, https://openalex.org/W2048204840, https://openalex.org/W2133709709, https://openalex.org/W1981982902, https://openalex.org/W2084682097, https://openalex.org/W2222166274, https://openalex.org/W2086218381, https://openalex.org/W1986845795, https://openalex.org/W2129123617, https://openalex.org/W2346197608, https://openalex.org/W2461018964, https://openalex.org/W2337403113, https://openalex.org/W1974761488, https://openalex.org/W2135929897, https://openalex.org/W1426890125, https://openalex.org/W2068146545, https://openalex.org/W4294214781, https://openalex.org/W1971198963, https://openalex.org/W2113619522, https://openalex.org/W4214717370, https://openalex.org/W2149892666, https://openalex.org/W2124757386, https://openalex.org/W2050883619, https://openalex.org/W2012546389, https://openalex.org/W2324392187, https://openalex.org/W1906299496, https://openalex.org/W2063433222 |
| referenced_works_count | 58 |
| abstract_inverted_index.a | 3, 68 |
| abstract_inverted_index.To | 63 |
| abstract_inverted_index.as | 43, 54, 98 |
| abstract_inverted_index.by | 29, 45, 56, 100, 141 |
| abstract_inverted_index.if | 24 |
| abstract_inverted_index.in | 6, 26, 115 |
| abstract_inverted_index.is | 2 |
| abstract_inverted_index.of | 31, 37, 61, 76, 96, 104, 111, 122, 139, 145 |
| abstract_inverted_index.on | 80, 106 |
| abstract_inverted_index.or | 39, 58 |
| abstract_inverted_index.to | 72, 92, 147 |
| abstract_inverted_index.we | 22, 66 |
| abstract_inverted_index.and | 9, 108 |
| abstract_inverted_index.are | 18 |
| abstract_inverted_index.key | 4 |
| abstract_inverted_index.led | 91 |
| abstract_inverted_index.may | 51 |
| abstract_inverted_index.our | 131 |
| abstract_inverted_index.the | 74, 101, 116, 120, 143 |
| abstract_inverted_index.was | 86 |
| abstract_inverted_index.end, | 65 |
| abstract_inverted_index.that | 15, 134 |
| abstract_inverted_index.this | 64 |
| abstract_inverted_index.tone | 28 |
| abstract_inverted_index.were | 127 |
| abstract_inverted_index.Here, | 21 |
| abstract_inverted_index.Taken | 129 |
| abstract_inverted_index.brain | 84 |
| abstract_inverted_index.fMRI. | 89 |
| abstract_inverted_index.these | 16 |
| abstract_inverted_index.using | 88 |
| abstract_inverted_index.value | 146 |
| abstract_inverted_index.while | 83, 124 |
| abstract_inverted_index.L-DOPA | 32, 50, 77, 90, 118, 135 |
| abstract_inverted_index.Markov | 70 |
| abstract_inverted_index.Recent | 12 |
| abstract_inverted_index.action | 10 |
| abstract_inverted_index.brain, | 117 |
| abstract_inverted_index.choice | 107 |
| abstract_inverted_index.effect | 75, 121 |
| abstract_inverted_index.impact | 103 |
| abstract_inverted_index.impair | 52 |
| abstract_inverted_index.reward | 105, 123 |
| abstract_inverted_index.tested | 23 |
| abstract_inverted_index.action. | 148 |
| abstract_inverted_index.control | 36, 42, 82, 95, 138 |
| abstract_inverted_index.models. | 48 |
| abstract_inverted_index.reduced | 102 |
| abstract_inverted_index.reduces | 136 |
| abstract_inverted_index.results | 132 |
| abstract_inverted_index.signals | 126 |
| abstract_inverted_index.suggest | 14, 133 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Dopamine | 1 |
| abstract_inverted_index.behavior | 38, 97, 140 |
| abstract_inverted_index.choices. | 113 |
| abstract_inverted_index.control. | 11 |
| abstract_inverted_index.dopamine | 27 |
| abstract_inverted_index.employed | 67 |
| abstract_inverted_index.findings | 13 |
| abstract_inverted_index.learning | 8, 53 |
| abstract_inverted_index.measured | 87 |
| abstract_inverted_index.theories | 60 |
| abstract_inverted_index.transfer | 144 |
| abstract_inverted_index.decreased | 119 |
| abstract_inverted_index.dopamine. | 62 |
| abstract_inverted_index.increased | 109 |
| abstract_inverted_index.increases | 25 |
| abstract_inverted_index.indicated | 99 |
| abstract_inverted_index.predicted | 44 |
| abstract_inverted_index.reflexive | 40 |
| abstract_inverted_index.suggested | 55 |
| abstract_inverted_index.together, | 130 |
| abstract_inverted_index.two-stage | 69 |
| abstract_inverted_index.activation | 85 |
| abstract_inverted_index.attenuated | 93 |
| abstract_inverted_index.behavioral | 81 |
| abstract_inverted_index.components | 17 |
| abstract_inverted_index.entangled. | 20 |
| abstract_inverted_index.inherently | 19 |
| abstract_inverted_index.model-free | 94, 112, 137 |
| abstract_inverted_index.upregulate | 33 |
| abstract_inverted_index.(randomized | 78 |
| abstract_inverted_index.attenuating | 142 |
| abstract_inverted_index.cross-over) | 79 |
| abstract_inverted_index.investigate | 73 |
| abstract_inverted_index.unaffected. | 128 |
| abstract_inverted_index.“value” | 57 |
| abstract_inverted_index.deliberative | 34 |
| abstract_inverted_index.dual-control | 46 |
| abstract_inverted_index.“thrift” | 59 |
| abstract_inverted_index.decision-task | 71 |
| abstract_inverted_index.reinforcement | 7 |
| abstract_inverted_index.stochasticity | 110 |
| abstract_inverted_index.Alternatively, | 49 |
| abstract_inverted_index.administration | 30 |
| abstract_inverted_index.Correspondingly, | 114 |
| abstract_inverted_index.neurotransmitter | 5 |
| abstract_inverted_index.prediction-error | 125 |
| abstract_inverted_index.“model-free” | 41 |
| abstract_inverted_index.“model-based” | 35 |
| abstract_inverted_index.reinforcement-learning | 47 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5077959151, https://openalex.org/A5063406820 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I78650965 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.6399999856948853 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.73187485 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |