Language in autism: domains, profiles and co-occurring conditions

J Schaeffer, M Abd El-Raziq, E Castroviejo… - Journal of Neural …, 2023 - Springer
This article reviews the current knowledge state on pragmatic and structural language
abilities in autism and their potential relation to extralinguistic abilities and autistic traits. The …

How does the brain learn environmental structure? Ten core principles for understanding the neurocognitive mechanisms of statistical learning

CM Conway - Neuroscience & Biobehavioral Reviews, 2020 - Elsevier
Despite a growing body of research devoted to the study of how humans encode
environmental patterns, there is still no clear consensus about the nature of the …

Adults with autism overestimate the volatility of the sensory environment

RP Lawson, C Mathys, G Rees - Nature neuroscience, 2017 - nature.com
Insistence on sameness and intolerance of change are among the diagnostic criteria for
autism spectrum disorder (ASD), but little research has addressed how people with ASD …

[書籍][B] Cognitive development and cognitive neuroscience: The learning brain

U Goswami - 2019 - taylorfrancis.com
Cognitive Development and Cognitive Neuroscience: The Learning Brain is a thoroughly
revised edition of the bestselling Cognitive Development. The new edition of this full-colour …

Infant statistical learning

JR Saffran, NZ Kirkham - Annual review of psychology, 2018 - annualreviews.org
Perception involves making sense of a dynamic, multimodal environment. In the absence of
mechanisms capable of exploiting the statistical patterns in the natural world, infants would …

The EU-AIMS Longitudinal European Autism Project (LEAP): design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders

E Loth, T Charman, L Mason, J Tillmann, EJH Jones… - Molecular autism, 2017 - Springer
Background The tremendous clinical and aetiological diversity among individuals with
autism spectrum disorder (ASD) has been a major obstacle to the development of new …

[HTML][HTML] Enhancing reproducibility in developmental EEG research: BIDS, cluster-based permutation tests, and effect sizes

M Meyer, D Lamers, E Kayhan, S Hunnius… - Developmental cognitive …, 2021 - Elsevier
Developmental research using electroencephalography (EEG) offers valuable insights in
brain processes early in life, but at the same time, applying this sensitive technique to young …

Is there such a thing as a 'good statistical learner'?

L Bogaerts, N Siegelman, MH Christiansen… - Trends in cognitive …, 2022 - cell.com
A growing body of research investigates individual differences in the learning of statistical
structure, tying them to variability in cognitive (dis) abilities. This approach views statistical …

Statistical learning in specific language impairment and autism spectrum disorder: A meta-analysis

R Obeid, PJ Brooks, KL Powers… - Frontiers in …, 2016 - frontiersin.org
Impairments in statistical learning might be a common deficit among individuals with Specific
Language Impairment (SLI) and Autism Spectrum Disorder (ASD). Using meta-analysis, we …

The multi-component nature of statistical learning

J Arciuli - … Transactions of the Royal Society B: Biological …, 2017 - royalsocietypublishing.org
The central argument presented in this paper is that statistical learning (SL) is an ability
comprised of multiple components that operate largely implicitly. Components relating to the …