Statistical Learning as a Tool for Rehabilitation in Spatial Neglect
نویسندگان
چکیده
We propose that neglect includes a disorder of representational updating. Representational updating refers to our ability to build mental models and adapt those models to changing experience. This updating ability depends on the processes of priming, working memory, and statistical learning. These processes in turn interact with our capabilities for sustained attention and precise temporal processing. We review evidence showing that all these non-spatial abilities are impaired in neglect, and we discuss how recognition of such deficits can lead to novel approaches for rehabilitating neglect.
منابع مشابه
Advancing the Science of Spatial Neglect Rehabilitation: An Improved Statistical Approach with Mixed Linear Modeling
VALID RESEARCH ON NEGLECT REHABILITATION DEMANDS A STATISTICAL APPROACH COMMENSURATE WITH THE CHARACTERISTICS OF NEGLECT REHABILITATION DATA: neglect arises from impairment in distinct brain networks leading to large between-subject variability in baseline symptoms and recovery trajectories. Studies enrolling medically ill, disabled patients, may suffer from missing, unbalanced data, and small ...
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