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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 The relationships between oral language and reading instruction: Evidence from a computational model of reading. ... Chang, Ya-Ning; Taylor, JSH; Rastle, Kathleen. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 2 A unified neurocomputational bilateral model of spoken language production in healthy participants and recovery in poststroke aphasia. ... Chang, Ya-Ning; Lambon Ralph, Matthew. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 3 Age of acquisition effects on traditional Chinese character naming and lexical decision. ... Chang, Ya-Ning; Lee, Chia-Ying. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 4 A unified neurocomputational bilateral model of spoken language production in healthy participants and recovery in poststroke aphasia. Chang, Ya-Ning; Lambon Ralph, Matthew. - : Proceedings of the National Academy of Sciences, 2020. : Proc Natl Acad Sci U S A, 2020 Abstract: Understanding the processes underlying normal, impaired, and recovered language performance has been a long-standing goal for cognitive and clinical neuroscience. Many verbally described hypotheses about language lateralization and recovery have been generated. However, they have not been considered within a single, unified, and implemented computational framework, and the literatures on healthy participants and patients are largely separated. These investigations also span different types of data, including behavioral results and functional MRI brain activations, which augment the challenge for any unified theory. Consequently, many key issues, apparent contradictions, and puzzles remain to be solved. We developed a neurocomputational, bilateral pathway model of spoken language production, designed to provide a unified framework to simulate different types of data from healthy participants and aphasic patients. The model encapsulates key computational principles (differential computational capacity, emergent division of labor across pathways, experience-dependent plasticity-related recovery) and provides an explanation for the bilateral yet asymmetric lateralization of language in healthy participants, chronic aphasia after left rather than right hemisphere lesions, and the basis of partial recovery in patients. The model provides a formal basis for understanding the relationship between behavioral performance and brain activation. The unified model is consistent with the degeneracy and variable neurodisplacement theories of language recovery, and adds computational insights to these hypotheses regarding the neural machinery underlying language processing and plasticity-related recovery following damage. Keyword: Aphasia; Functional Laterality; Healthy Volunteers; Humans; Language; Models; Neuroimaging; Neurological; Recovery of Function; Stroke URL: https://doi.org/10.17863/CAM.60336 https://www.repository.cam.ac.uk/handle/1810/313230 BASE Hide details 5 Age of acquisition effects on traditional Chinese character naming and lexical decision. Chang, Ya-Ning; Lee, Chia-Ying. - : Springer Nature, 2020. : Psychonomic bulletin & review, 2020 BASE Show details 6 The relationships between oral language and reading instruction: Evidence from a computational model of reading. Chang, Ya-Ning; Taylor, JSH; Monaghan, Padraic. - : Elsevier BV, 2020. : Cogn Psychol, 2020 BASE Show details 7 Semantic ambiguity effects on traditional Chinese character naming: A corpus-based approach. ... Chang, Ya-Ning; Lee, Chia-Ying. - : Apollo - University of Cambridge Repository, 2018 BASE Show details

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