Evidence map›Paper›PMID 27815576›Full record

ReviewExperimental brain research2017

The ideomotor recycling theory for tool use, language, and foresight.

Arnaud Badets, François Osiurak

Abstract readReview
PubMed Publisher
In one paragraph

Review in Experimental brain research, 2017. 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.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Creating semantics in tool use.Cognitive processing · 2017
    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

2 authors.

Arnaud BadetsCNRS, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine (UMR 5287), Université de Bordeaux, Bât. 2A- 2ème étage, 146 rue Léo Saignat, 33076, Bordeaux Cedex, France. arnaud.badets@u-bordeaux.fr.
François OsiurakLaboratoire d'Etude des Mécanismes Cognitifs (EA 3082), Université de Lyon, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present theoretical framework highlights a common action-perception mechanism for tool use, spoken language, and foresight capacity. On the one hand, it has been suggested that human language and the capacity to envision the future (i.e. foresight) have, from an evolutionary viewpoint, developed mutually along with the pressure of tool use. This co-evolution has afforded humans an evident survival advantage in the animal kingdom because language can help to refine the representation of future scenarios, which in turn can help to encourage or discourage engagement in appropriate and efficient behaviours. On the other hand, recent assumptions regarding the evolution of the brain have capitalized on the concept of "neuronal recycling". In the domain of cognitive neuroscience, neuronal recycling means that during evolution, some neuronal areas and cognitive functions have been recycled to manage new environmental and social constraints. In the present article, we propose that the co-evolution of tool use, language, and foresight represents a suitable example of such functional recycling throughout a well-defined common action-perception mechanism, i.e. the ideomotor mechanism. This ideomotor account is discussed in light of different future ontogenetic and phylogenetic perspectives.

Indexed as

LanguageAnimalsBiological EvolutionBrainCognitionHumansPerceptionPsychological TheoryPsychomotor PerformanceTool Use BehaviorForesightIdeomotor mechanismLanguageNeuronal recyclingTool use

Identifiers

What OpenQuestion holds

Textmetadata
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.