Cited by 13Child and Animal Learning DevelopmentEmbodied and Extended CognitionNeural and Behavioral Psychology Studies

Predictive coding and attention in developmental cognitive neuroscience and perspectives for neurodevelopmental disorders

Open access
Marais, Anne-Lise, Roche-Labarbe, Nadege·2025·Developmental Cognitive Neuroscience

Abstract

Sensory prediction and repetition suppression are closely related cognitive mechanisms that allow the brain to form predictions about the environment, and guide perception in synergy with attention. Predictive coding is a theory of the fundamental role of predictive mechanisms in brain functions. Authors have proposed a central role of predictive impairments in autism and possibly other neurodevelopmental disorders. However, little is known about predictive mechanisms in typical development, and how they co-develop with attention. Here we review experimental support for predictive coding and its links with attention in healthy adults' brains, the first experimental works performed in typically developing children and infants, and theoretical accounts of neurodevelopmental disorders using a predictive coding framework. We propose future directions for predictive coding research in development. Finally, we describe the first predictive coding experiments in neonates and provide research perspectives for using this framework in searching for early markers of atypical neurodevelopment.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.dcn.2025.101519

Cites

140 of 142 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • No theoretical model of ADHD focuses on predictive coding explicitly.

    “While, in contrast to ASD research, no theoretical model of ADHD focuses on predictive coding explicitly (Marais & Roche-Labarbe, 2025)”

    From Are prediction error modifications domain specific in autism but domain general in ADHD? (2025) · cites this paper as Marais & Roche-Labarbe, 2025

    In the “Predictive coding and ADHD” section, the paper says that no strong theoretical proposition has been made about prediction in other neurodevelopmental disorders, supporting the contrast with ASD. But it also discusses proposed predictive-coding explanations for ADHD symptoms, so it does not establish the categorical claim that no ADHD model focuses on predictive coding explicitly. (LLM, conf=0.83)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Van de Cruys S. Evers K. Van der Hallen R. Van Eylen L. Boets B. de-Wit L. Wagemans J. Precise minds in uncertain worlds: predictive coding in autism Psychol. Rev. 121 4 2014 649 675 10.1037/a0037665 25347312 · DOI · Paper page

Cited by

Sorted by citations

Authors
Marais, A.-L., & Roche-Labarbe, N.
Affiliations
Inserm (FR)
Venue
Developmental Cognitive Neuroscience
Publisher
Elsevier BV
Published
2025-04
Volume
72
Pages
101519
ISSN
1878-9293 (ISSN-L)
OpenAlex
W4406704507
Cited by
12
References
142
Citations by year
2026: 7 · 2025: 5
FWCI
23.87
Type
journal article
Language
en
Open access
Locations
  • Developmental Cognitive Neuroscience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Ministère de l'Enseignement supérieur et de la Recherche
  • French National Research Agency (#ANR-19-CE37-0015)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
predictive coding, attention, sensory prediction, repetition suppression, autism spectrum disorder, neurodevelopmental disorders, typical development, infants, children, neonates, perception
MeSH terms
Cognitive Neuroscience, Attention, Brain, Child, Cognition, Humans, Neurodevelopmental Disorders

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review