Evidence map›Paper›PMID 37296163›Full record

ArticleScientific reports2023

Strategy inference during learning via cognitive activity-based credit assignment models.

Ashwin James, Patricia Reynaud-Bouret, Giulia Mezzadri, Francesca Sargolini, Ingrid Bethus, Alexandre Muzy

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2023. 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ashwin James *Université Côte d'Azur, CNRS, I3S, Nice, France.
Patricia Reynaud-Bouret *Université Côte d'Azur, CNRS, LJAD, Nice, France.
Giulia MezzadriColumbia University, Cognition and Decision Lab, New York, USA.
Francesca SargoliniAix Marseille Université, CNRS, Laboratoire de Neurosciences Cognitives, Marseille, France.
Ingrid BethusUniversité Côte d'Azur, CNRS, IPMC, Nice, France.
Alexandre MuzyUniversité Côte d'Azur, CNRS, I3S, Nice, France. alexandre.muzy@univ-cotedazur.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We develop a method for selecting meaningful learning strategies based solely on the behavioral data of a single individual in a learning experiment. We use simple Activity-Credit Assignment algorithms to model the different strategies and couple them with a novel hold-out statistical selection method. Application on rat behavioral data in a continuous T-maze task reveals a particular learning strategy that consists in chunking the paths used by the animal. Neuronal data collected in the dorsomedial striatum confirm this strategy.

Indexed as

LearningMemoryAnimalsCognitionCorpus StriatumDecision MakingRats

Identifiers

PMID37296163
PMCPMC10256696

What OpenQuestion holds

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LicenceCC BY
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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.