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- W2000729949 abstract "Computational models of neuromotor recovery after a stroke might help to unveil the underlying physiological mechanisms and might suggest how to make recovery faster and more effective. At least in principle, these models could serve: (i) To provide testable hypotheses on the nature of recovery; (ii) To predict the recovery of individual patients; (iii) To design patient-specific optimal therapy, by setting the treatment variables for maximizing the amount of recovery or for achieving a better generalization of the learned abilities across different tasks. Here we review the state of the art of computational models for neuromotor recovery through exercise, and their implications for treatment. We show that to properly account for the computational mechanisms of neuromotor recovery, multiple levels of description need to be taken into account. The review specifically covers models of recovery at central, functional and muscle synergy level." @default.
- W2000729949 created "2016-06-24" @default.
- W2000729949 creator A5003101212 @default.
- W2000729949 creator A5043696617 @default.
- W2000729949 creator A5043864991 @default.
- W2000729949 creator A5075869314 @default.
- W2000729949 date "2013-01-01" @default.
- W2000729949 modified "2023-09-24" @default.
- W2000729949 title "Neuromotor recovery from stroke: computational models at central, functional, and muscle synergy level" @default.
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- W2000729949 doi "https://doi.org/10.3389/fncom.2013.00097" @default.
- W2000729949 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3749429" @default.
- W2000729949 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23986688" @default.
- W2000729949 hasPublicationYear "2013" @default.
- W2000729949 type Work @default.