کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10467275 | 925813 | 2005 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Experience with a category alters hemispheric asymmetries for the detection of anomalies
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب رفتاری
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Experience with a category alters hemispheric asymmetries for the detection of anomalies Experience with a category alters hemispheric asymmetries for the detection of anomalies](/preview/png/10467275.png)
چکیده انگلیسی
Previous research with both brain-damaged and neurologically intact individuals suggests that the right cerebral hemisphere (RH) is superior to the left cerebral hemisphere (LH) at detecting anomalies in objects. The current research assesses whether experience with a category is necessary for this RH advantage to emerge. Participants were taught the diagnostic criteria necessary to categorize two fictitious species of animals (“Dleebs” and “Tazes”). After training, participants were given a test in which half of the items were congruent with the diagnostic rules and half of the items were incongruent. Participants were tested on two occasions-once after the initial training session and once after five training sessions. The results demonstrated that experience is required for the RH advantage for anomaly detection to occur. On the first test, reaction times were faster when items were presented to the LH. After 5 days of training, reaction times were faster when items were presented to the RH. This interaction could be due to the fact that participants reported analyzing the items in terms of a series of features during the initial test, but analyzed the items as a configural whole as experience with the category increased.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neuropsychologia - Volume 43, Issue 13, 2005, Pages 1911-1915
Journal: Neuropsychologia - Volume 43, Issue 13, 2005, Pages 1911-1915
نویسندگان
Stephen D. Smith, Michael J. Dixon, M. Barbara Bulman-Fleming, Corey Birch, Nadine Laudi, Brandon Wagar,