检验典型和自闭症神经认知发展的预测编码描述。

IF 7.5 1区 医学 Q1 BEHAVIORAL SCIENCES Neuroscience and Biobehavioral Reviews Pub Date : 2024-09-25 DOI:10.1016/j.neubiorev.2024.105905
Hannah Rapaport , Paul F. Sowman
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引用次数: 0

摘要

预测编码已成为理解感知及其神经基础的一个重要理论框架。最近,整个思维科学领域都对预测编码框架产生了浓厚的兴趣。然而,该领域对神经畸形儿童和自闭症儿童预测编码神经基础的研究相对较少。本文概述了典型和自闭症神经认知发展的预测编码理论,并回顾了目前支持这些理论的电生理学证据。根据目前的证据,显然需要在儿科领域开展更多研究,以全面评估神经认知发展的预测性编码说法。如果得到支持,这些观点将对教学法、养育子女、人工智能以及帮助自闭症儿童管理日常感官信息的临床方法产生广泛的实际影响。
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Examining predictive coding accounts of typical and autistic neurocognitive development
Predictive coding has emerged as a prominent theoretical framework for understanding perception and its neural underpinnings. There has been a recent surge of interest in the predictive coding framework across the mind sciences. However, comparatively little of the research in this field has investigated the neural underpinnings of predictive coding in young neurotypical and autistic children. This paper provides an overview of predictive coding accounts of typical and autistic neurocognitive development and includes a review of the current electrophysiological evidence supporting these accounts. Based on the current evidence, it is clear that more research in pediatrics is needed to evaluate predictive coding accounts of neurocognitive development fully. If supported, these accounts could have wide-ranging practical implications for pedagogy, parenting, artificial intelligence, and clinical approaches to helping autistic children manage the barrage of everyday sensory information.
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来源期刊
CiteScore
14.20
自引率
3.70%
发文量
466
审稿时长
6 months
期刊介绍: The official journal of the International Behavioral Neuroscience Society publishes original and significant review articles that explore the intersection between neuroscience and the study of psychological processes and behavior. The journal also welcomes articles that primarily focus on psychological processes and behavior, as long as they have relevance to one or more areas of neuroscience.
期刊最新文献
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