Evidence map›Paper›PMID 37479696›Full record

ArticleNature communications2023

The behavioral signature of stepwise learning strategy in male rats and its neural correlate in the basal forebrain.

Hachi E Manzur, Ksenia Vlasov, You-Jhe Jhong, Hung-Yen Chen, Shih-Chieh Lin

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Hachi E ManzurNeural Circuits and Cognition Unit, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Ksenia VlasovNeural Circuits and Cognition Unit, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
You-Jhe JhongInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0001-5860-1333
Hung-Yen ChenInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Shih-Chieh LinNeural Circuits and Cognition Unit, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. shihchieh.lin@nycu.edu.tw.ORCID 0000-0003-3693-5476

Funding

The roles of basal forebrain neuronal ensembles in top-down attentionZIAAG000339 · NIA · NATIONAL INSTITUTE ON AGING · PI LIN, SHIH-CHIEH · 2010 to 2017
$7.2M
Intramural NIH HHS ZIA AG000339
6 · The paper itself

Abstract

Studies of associative learning have commonly focused on how rewarding outcomes are predicted by either sensory stimuli or animals' actions. However, in many learning scenarios, reward delivery requires the occurrence of both sensory stimuli and animals' actions in a specific order, in the form of behavioral sequences. How such behavioral sequences are learned is much less understood. Here we provide behavioral and neurophysiological evidence to show that behavioral sequences are learned using a stepwise strategy. In male rats learning a new association, learning started from the behavioral event closest to the reward and sequentially incorporated earlier events. This led to the sequential refinement of reward-seeking behaviors, which was characterized by the stepwise elimination of ineffective and non-rewarded behavioral sequences. At the neuronal level, this stepwise learning process was mirrored by the sequential emergence of basal forebrain neuronal responses toward each event, which quantitatively conveyed a reward prediction error signal and promoted reward-seeking behaviors. Together, these behavioral and neural signatures revealed how behavioral sequences were learned in discrete steps and when each learning step took place.

Indexed as

Basal ForebrainAnimalsConditioning, ClassicalLearningMaleNeurophysiologyRatsRecords

Identifiers

PMID37479696
PMCPMC10362048

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.