Evidence map›Paper›PMID 22688642›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2012

On the pursuit of the brain network for proto-syntactic learning in non-human primates: conceptual issues and neurobiological hypotheses.

Christopher I Petkov, Benjamin Wilson

Open access · hybridAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
42.6field-weighted citation impact, top 1% of its field
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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Structured sequence processing and combinatorial binding: neurobiologically and computationally informed hypotheses.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  5. Neuronal Encoding in a High-Level Auditory Area: From Sequential Order of Elements to Grammatical Structure.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Modification of spectral features by nonhuman primates.The Behavioral and brain sciences · 2014
    Article
  13. Article
  14. Article
  15. Auditory artificial grammar learning in macaque and marmoset monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
  16. Artificial grammar learning meets formal language theory: an overview.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2012
    Review
  17. Pattern perception and computational complexity: introduction to the special issue.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2012
    Article
  18. 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 at 2 institutions in 3 countries.

Christopher I PetkovInstitute of Neuroscience, Newcastle University Medical School, Henry Wellcome Building, Newcastle University, Newcastle upon Tyne NE2 4HH, UK. chris.petkov@ncl.ac.uk
Benjamin Wilson
Neurosciences Institute · USNewcastle University · GB

Funding

Wellcome Trust 092606
6 · The paper itself

Abstract

Songbirds have become impressive neurobiological models for aspects of human verbal communication because they learn to sequence their song elements, analogous, in some ways, to how humans learn to produce spoken sequences with syntactic structure. However, mammals such as non-human primates are considered to be at best limited-vocal learners and not able to sequence their vocalizations, although some of these animals can learn certain 'artificial grammar' sequences. Thus, conceptual issues have slowed the progress in exploring potential neurobiological homologues to language-related processes in species that are taxonomically closely related to humans. We consider some of the conceptual issues impeding a pursuit of, as we define them, 'proto-syntactic' capabilities and their neuronal substrates in non-human animals. We also discuss ways to better bridge comparative behavioural and neurobiological data between humans and other animals. Finally, we propose guiding neurobiological hypotheses with which we aim to facilitate the future testing of the level of correspondence between the human brain network for syntactic-learning and related neurobiological networks present in other primates. Insights from the study of non-human primates and other mammals are likely to complement those being obtained in birds to further our knowledge of the human language-related network at the cellular level.

Indexed as

LanguageAnimalsAuditory PerceptionBehavior, AnimalBiological EvolutionFrontal LobeLearningNerve NetNeurobiologyPrimatesVocalization, Animal

Identifiers

PMID22688642
PMCPMC3367685
OpenAlexW2132785601

What OpenQuestion holds

Textmetadata
LicenceTDM
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.