Author: J.V. Filoteo
Edition:
Binding: Digital
ISBN: B000PC0MEC
Edition:
Binding: Digital
ISBN: B000PC0MEC
Characterizing rule-based category learning deficits in patients with Parkinson's disease [An article from: Neuropsychologia]
This digital document is a journal article from Neuropsychologia, published by Elsevier in 2007. Get Characterizing rule-based category learning deficits in patients with Parkinson's disease [An article from diet books 2013 for free.
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Description:
Parkinson's disease (PD) patients and normal controls were tested in three category learning experiments to determine if previously observed rule-based category learning impairments in PD patients were due to deficits in selective attention or working memory. In Experiment 1, optimal categorization required participants to base their decision on a single stimulus dimension and ignore irrelevant variation on another dimension, thus emphasizing selective Check Characterizing rule-based category learning deficits in patients with Parkinson's disease [An article from our best diet books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

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The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Parkinson's disease (PD) patients and normal controls were tested in three category learning experiments to determine if previously observed rule-based category learning impairments in PD patients were due to deficits in selective attention or working memory he article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Parkinson's disease (PD) patients and normal controls were tested in three category learning experiments to determine if previously observed rule-based category learning impairments in PD patients were due to deficits in selective attention or working memory. In Experiment 1, optimal categorization required participants to base their decision on a single stimulus dimension and ignore irrelevant variation on another dimension, thus emphasizing selective
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