Predicting language treatment response in bilingual aphasia using neural network-based patient models

Abstract Predicting language therapy outcomes in bilinguals with aphasia (BWA) remains challenging due to the multiple pre- and poststroke factors that determine the deficits and recovery of their two languages. Computational models that simulate language impairment and treatment outcomes in BWA can...

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Autores principales: Uli Grasemann, Claudia Peñaloza, Maria Dekhtyar, Risto Miikkulainen, Swathi Kiran
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/7d581e2a474345e08945d1f3d7e77c5e
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