Evidence map›Paper›PMID 38581677›Full record

ArticleCell reports2024

Distributional coding of associative learning in discrete populations of midbrain dopamine neurons.

Riccardo Avvisati, Anna-Kristin Kaufmann, Callum J Young, Gabriella E Portlock, Sophie Cancemi, Rui Ponte Costa, Peter J Magill, Paul D Dodson

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 22 citations in OpenAlex.

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  6. Fluorescence detection of dopamine signaling to the primate striatum in relation to stimulus-reward associations.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  12. Feasibility of dopamine as a vector-valued feedback signal in the basal ganglia.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Riccardo AvvisatiSchool of Physiology, Pharmacology, and Neuroscience, University of Bristol, Bristol BS8 1TD, UK; Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX1 3TH, UK.
Anna-Kristin KaufmannMedical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX1 3TH, UK.
Callum J YoungSchool of Physiology, Pharmacology, and Neuroscience, University of Bristol, Bristol BS8 1TD, UK; Computational Neuroscience Unit, Department of Computer Science, SCEEM, Faculty of Engineering, University of Bristol, Bristol BS8 1UB, UK.
Gabriella E PortlockSchool of Physiology, Pharmacology, and Neuroscience, University of Bristol, Bristol BS8 1TD, UK.
Sophie CancemiSchool of Physiology, Pharmacology, and Neuroscience, University of Bristol, Bristol BS8 1TD, UK.
Rui Ponte CostaComputational Neuroscience Unit, Department of Computer Science, SCEEM, Faculty of Engineering, University of Bristol, Bristol BS8 1UB, UK.
Peter J MagillMedical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX1 3TH, UK.
Paul D DodsonSchool of Physiology, Pharmacology, and Neuroscience, University of Bristol, Bristol BS8 1TD, UK; Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX1 3TH, UK. Electronic address: paul.dodson@bristol.ac.uk.
University of Bristol · GBUniversity of Oxford · GB

Funding

Biotechnology and Biological Sciences Research Council BB/P006957/2Biotechnology and Biological Sciences Research Council BB/T013907/1Medical Research Council MC_UU_00003/5Medical Research Council MC_UU_12024/2
6 · The paper itself

Abstract

Midbrain dopamine neurons are thought to play key roles in learning by conveying the difference between expected and actual outcomes. Recent evidence suggests diversity in dopamine signaling, yet it remains poorly understood how heterogeneous signals might be organized to facilitate the role of downstream circuits mediating distinct aspects of behavior. Here, we investigated the organizational logic of dopaminergic signaling by recording and labeling individual midbrain dopamine neurons during associative behavior. Our findings show that reward information and behavioral parameters are not only heterogeneously encoded but also differentially distributed across populations of dopamine neurons. Retrograde tracing and fiber photometry suggest that populations of dopamine neurons projecting to different striatal regions convey distinct signals. These data, supported by computational modeling, indicate that such distributional coding can maximize dynamic range and tailor dopamine signals to facilitate specialized roles of different striatal regions.

Indexed as

Dopaminergic NeuronsMesencephalonAnimalsAssociation LearningDopamineMaleMiceMice, Inbred C57BLRewardDopaminebasal gangliaCP: Neurosciencedopamineheterogeneityrewardstriatumsubstantia nigraVTA

Identifiers

PMID38581677
PMCPMC7616095
OpenAlexW4393925242

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.