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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
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, ...
Keyword: Aphasia; Functional Laterality; Healthy Volunteers; Humans; Language; Models, Neurological; Neuroimaging; Recovery of Function; Stroke
URL: https://dx.doi.org/10.17863/cam.60336
https://www.repository.cam.ac.uk/handle/1810/313230
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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
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Modelling graded semantic effects in lexical decision
Chang, Ya-Ning; Lambon Ralph, Matthew; Furber, Steve. - : Cognitive Science Society, 2013
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