Evidence map›Paper›PMID 39413788›Full record

ArticleCurrent biology : CB2024

Pre-existing visual responses in a projection-defined dopamine population explain individual learning trajectories.

Alejandro Pan-Vazquez, Yoel Sanchez Araujo, Brenna McMannon, Miranta Louka, Akhil Bandi, Laura Haetzel, Mayo Faulkner, International Brain Laboratory, Jonathan W Pillow, Nathaniel D Daw and 1 more

Abstract read
In one paragraph

Article in Current biology : CB, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Learning neural dynamics through instructive signals.bioRxiv : the preprint server for biology · 2025
    Article
  2. Inferring learning rules during de novo task learning.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
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  9. Dopaminergic computations for perceptual decisions.Current opinion in behavioral sciences · 2024
    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

11 authors.

Alejandro Pan-VazquezPrinceton Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08540, USA.
Yoel Sanchez AraujoPrinceton Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08540, USA.
Brenna McMannonPrinceton Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08540, USA.
Miranta LoukaPrinceton Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08540, USA.
Akhil BandiPrinceton Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08540, USA.
Laura HaetzelPrinceton Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08540, USA.
Mayo FaulknerUCL Institute of Ophthalmology, University College London, 11-43 Bath Street, London EC1V 9EL, UK.
International Brain Laboratory
Jonathan W PillowPrinceton Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08540, USA.
Nathaniel D DawPrinceton Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08540, USA; Department of Psychology, Princeton University, Washington Road, Princeton, NJ 08540, USA. Electronic address: ndaw@princeton.edu.
Ilana B WittenPrinceton Neuroscience Institute, Princeton University, Washington Road, Princeton, NJ 08540, USA; Howard Hughes Medical Institute, Princeton University, Washington Road, Princeton, NJ 08540, USA. Electronic address: iwitten@princeton.edu.

Funding

P5: Mechanistic Multi-Region Brain ModelsU19NS132720 · NINDS · PRINCETON UNIVERSITY · PI Carlos D Brody, Ila R. Fiete · 2023 to 2026
$21.5M
State-dependent Decision-making in Brainwide Neural CircuitsU19NS123716 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PANINSKI, LIAM M · 2021 to 2025
$18.2M
Subcortical Neural Coding and DynamicsU19NS104648 · NINDS · PRINCETON UNIVERSITY · PI TANK, DAVID W · 2017 to 2021
$15.3M
Individual differences through self-reinforcement of suboptimal strategiesDP1MH136573 · NIMH · PRINCETON UNIVERSITY · PI Ilana Witten · 2023 to 2026
$5.7M
Adaptive statistical algorithms for learning and control of neural dynamicsRF1DA056404 · NIDA · PRINCETON UNIVERSITY · PI PARK, IL MEMMING, PILLOW, JONATHAN WILLIAM · 2022 to 2022
$969k
NIDA NIH HHS RF1 DA056404NIMH NIH HHS DP1 MH136573NINDS NIH HHS U19 NS104648NINDS NIH HHS U19 NS123716NINDS NIH HHS U19 NS132720Wellcome Trust 221657
6 · The paper itself

Abstract

A key challenge of learning a new task is that the environment is high dimensional-there are many different sensory features and possible actions, with typically only a small reward-relevant subset. Although animals can learn to perform complex tasks that involve arbitrary associations between stimuli, actions, and rewards,

Indexed as

DopamineLearningRewardAnimalsCorpus StriatumDopaminergic NeuronsFemaleMaleMiceMice, Inbred C57BLVisual PerceptionDopaminebasal gangliadopaminedorsomedial striatumindividual differencesreinforcement learningvisual decision-making

Identifiers

PMID39413788
PMCPMC11579926

What OpenQuestion holds

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Read underepoch 390

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.