Evidence map›Paper›PMID 35584665›Full record

ArticleCell reports2022

Choice-selective sequences dominate in cortical relative to thalamic inputs to NAc to support reinforcement learning.

Nathan F Parker, Avinash Baidya, Julia Cox, Laura M Haetzel, Anna Zhukovskaya, Malavika Murugan, Ben Engelhard, Mark S Goldman, Ilana B Witten

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 52 citations in OpenAlex.

  1. Long-term Learning Induces Plastic Changes in Frontostriatal Circuits.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. FGF21 analogue PF-05231023 on alcohol consumption and neuronal activity in the nucleus accumbens.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  6. Anxiety and Beyond: Diversity in Ventral Hippocampus Circuits and Function.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  7. A hardwired neural circuit for temporal difference learning.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A neural mechanism for learning from delayed postingestive feedback.bioRxiv : the preprint server for biology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Nathan F ParkerPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA.
Avinash BaidyaCenter for Neuroscience, University of California, Davis, Davis, CA 95616, USA; Department of Physics and Astronomy, University of California, Davis, Davis, CA 95616, USA.
Julia CoxPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA; Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Laura M HaetzelPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA.
Anna ZhukovskayaPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA.
Malavika MuruganPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA.
Ben EngelhardPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA.
Mark S GoldmanCenter for Neuroscience, University of California, Davis, Davis, CA 95616, USA; Department of Neurobiology, Physiology and Behavior, University of California, Davis, Davis, CA 95616, USA; Department of Ophthalmology and Vision Science, University of California, Davis, Davis, CA 95616, USA. Electronic address: msgoldman@ucdavis.edu.
Ilana B WittenPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA; Department of Psychology, Princeton University, Princeton, NJ 08544, USA. Electronic address: iwitten@princeton.edu.
Princeton University · USUniversity of California, Davis · US

Funding

Subcortical Neural Coding and DynamicsU19NS104648 · NINDS · PRINCETON UNIVERSITY · PI PILLOW, JONATHAN WILLIAM · 2017 to 2021
$15.3M
NRSA Training Grant in Quantitative NeuroscienceT32MH065214 · NIMH · PRINCETON UNIVERSITY · PI Nathaniel Douglass Daw, KENNETH A NORMAN · 2002 to 2026
$7.9M
Therapeutic plasticity: a novel paradigm for treating addictionDP2DA035149 · NIDA · PRINCETON UNIVERSITY · PI WITTEN, ILANA · 2012 to 2012
$2.4M
Dissecting the neural circuitry for spatial working memoryR01MH106689 · NIMH · PRINCETON UNIVERSITY · PI WITTEN, ILANA · 2015 to 2019
$2.0M
CRCNS: Theory and Experiments to Elucidate Neural Coding in the Reward CircuitR01DA047869 · NIDA · UNIVERSITY OF WASHINGTON · PI WITTEN, DANIELA, WITTEN, ILANA · 2018 to 2021
$1.0M
Neural circuit mechanisms of counterfactual learningF32MH112320 · NIMH · PRINCETON UNIVERSITY · PI COX, JULIA · 2017 to 2019
$184k
NIDA NIH HHS DP2 DA035149NIDA NIH HHS R01 DA047869NIMH NIH HHS F32 MH112320NIMH NIH HHS R01 MH106689NIMH NIH HHS T32 MH065214NINDS NIH HHS U19 NS104648
6 · The paper itself

Abstract

How are actions linked with subsequent outcomes to guide choices? The nucleus accumbens, which is implicated in this process, receives glutamatergic inputs from the prelimbic cortex and midline regions of the thalamus. However, little is known about whether and how representations differ across these input pathways. By comparing these inputs during a reinforcement learning task in mice, we discovered that prelimbic cortical inputs preferentially represent actions and choices, whereas midline thalamic inputs preferentially represent cues. Choice-selective activity in the prelimbic cortical inputs is organized in sequences that persist beyond the outcome. Through computational modeling, we demonstrate that these sequences can support the neural implementation of reinforcement-learning algorithms, in both a circuit model based on synaptic plasticity and one based on neural dynamics. Finally, we test and confirm a prediction of our circuit models by direct manipulation of nucleus accumbens input neurons.

Indexed as

Nucleus AccumbensThalamusAnimalsMiceNeural PathwaysNeuronsReinforcement, Psychologycircuit modelingCP: Neuroscienceimaginglearningnucleus accumbensoptogeneticsprelimbicreinforcement learningthalamus

Identifiers

PMID35584665
PMCPMC9218875
OpenAlexW4280567972

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.