Evidence map›Paper›PMID 30234485›Full record

ArticleeLife2018

Persistent coding of outcome-predictive cue features in the rat nucleus accumbens.

Jimmie M Gmaz, James E Carmichael, Matthijs Aa van der Meer

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Silent Synapses in Cocaine-Associated Memory and Beyond.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Review
  5. Review
  6. Article
  7. Insensitivity of Place Cells to the Value of Spatial Goals in a Two-Choice Flexible Navigation Task.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  8. 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

3 authors.

Jimmie M GmazDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, United States.ORCID http://orcid.org/0000-0001-6883-5811
James E CarmichaelDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, United States.
Matthijs Aa van der MeerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, United States.ORCID http://orcid.org/0000-0002-2206-4473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nucleus accumbens (NAc) is important for learning from feedback, and for biasing and invigorating behaviour in response to cues that predict motivationally relevant outcomes. NAc encodes outcome-related cue features such as the magnitude and identity of reward. However, little is known about how features of cues themselves are encoded. We designed a decision making task where rats learned multiple sets of outcome-predictive cues, and recorded single-unit activity in the NAc during performance. We found that coding of cue identity and location occurred alongside coding of expected outcome. Furthermore, this coding persisted both during a delay period, after the rat made a decision and was waiting for an outcome, and after the outcome was revealed. Encoding of cue features in the NAc may enable contextual modulation of on-going behaviour, and provide an eligibility trace of outcome-predictive stimuli for updating stimulus-outcome associations to inform future behaviour.

Indexed as

Formative FeedbackAnimalsBehavior, AnimalConditioning, OperantDecision MakingMotivationNucleus AccumbensRatsRewardcredit assignmentmotivated behaviorneuroscienceratreinforcement learning

Identifiers

PMID30234485
PMCPMC6195350

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.