Evidence map›Paper›PMID 35517574›Full record

ReviewFrontiers in behavioral neuroscience2022

Understanding Associative Learning Through Higher-Order Conditioning.

Dilara Gostolupce, Belinda P P Lay, Etienne J P Maes, Mihaela D Iordanova

Abstract readReview
In one paragraph

Review in Frontiers in behavioral neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

4 authors.

Dilara GostolupceCenter for Studies in Behavioral Neurobiology, Department of Psychology, Concordia University, Montreal, QC, Canada.
Belinda P P LayCenter for Studies in Behavioral Neurobiology, Department of Psychology, Concordia University, Montreal, QC, Canada.
Etienne J P MaesCenter for Studies in Behavioral Neurobiology, Department of Psychology, Concordia University, Montreal, QC, Canada.
Mihaela D IordanovaCenter for Studies in Behavioral Neurobiology, Department of Psychology, Concordia University, Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Associative learning is often considered to require the physical presence of stimuli in the environment in order for them to be linked. This, however, is not a necessary condition for learning. Indeed, associative relationships can form between events that are never directly paired. That is, associative learning can occur by integrating information across different phases of training. Higher-order conditioning provides evidence for such learning through two deceptively similar designs - sensory preconditioning and second-order conditioning. In this review, we detail the procedures and factors that influence learning in these designs, describe the associative relationships that can be acquired, and argue for the importance of this knowledge in studying brain function.

Indexed as

associative learningextinctionmemory integrationsecond-order conditioningsensory preconditioning

Identifiers

PMID35517574
PMCPMC9062293

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.