Neuroconstructivism is a theoretical framework focusing on the construction of representations in the developing brain. Cognitive development is explained as emerging from the experience-dependent development of neural structures supporting mental representations. Neural development occurs in the context of multiple interacting constraints acting on different levels, from the individual cell to the external environment of the developing child. Cognitive development can thus be understood as a trajectory originating from the constraints on the underlying neural structures. This perspective offers an integrated view of normal and abnormal development as well as of development and adult processing, and it stands apart from traditional cognitive approaches in taking seriously the constraints on cognition inherent to the substrate that delivers it.
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Blood biomarker profiles in young-onset neurocognitive disorders: A cohort study.
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Neuropsychiatry Centre, The Royal Melbourne Hospital, Parkville, VIC, Australia.
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Exploring the purpose and stages of patient and public involvement and engagement (PPIE) in audiology research: a case study approach.
Res Involv Engagem
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Patient Researcher and PPI Lead, College of Health and Life Sciences, Aston University, Birmingham, UK.
Background: Patient and Public Involvement and Engagement (PPIE) has become an integral component of contemporary audiology research. It aims to capture diverse views and experiences, essential for evaluating the long-term impact of technological advancements and care models on individuals. Traditional inclusion methods, such as focus groups, may exclude individuals with additional needs or communication difficulties, necessitating the development of more inclusive approaches.
View Article and Find Full Text PDFAssociation between physical activity and cognitive function in post-menopausal women with high parity: the chain-mediating effects of nutritional status and depression.
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Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, China.
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View Article and Find Full Text PDFThe factors influencing self-management in patients with depression: a qualitative research from China.
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Incremental accumulation of linguistic context in artificial and biological neural networks.
Nat Commun
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The Faculty of Data and Decisions Sciences, Technion - Israel Institute of Technology, Haifa, Israel.
Large Language Models (LLMs) have shown success in predicting neural signals associated with narrative processing, but their approach to integrating context over large timescales differs fundamentally from that of the human brain. In this study, we show how the brain, unlike LLMs that process large text windows in parallel, integrates short-term and long-term contextual information through an incremental mechanism. Using fMRI data from 219 participants listening to spoken narratives, we first demonstrate that LLMs predict brain activity effectively only when using short contextual windows of up to a few dozen words.
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