کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4336766 1295227 2007 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Detecting correlation changes in electrophysiological data
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
Detecting correlation changes in electrophysiological data
چکیده انگلیسی

A correlation multi-variate analysis of variance (MANOVA) test to statistically analyze changing patterns of multi-electrode array (MEA) electrophysiology data is developed. The approach enables us not only to detect significant mean changes, but also significant correlation changes in response to external stimuli. Furthermore, a method to single out hot-spot variables in the MEA data both for the mean and correlation is provided. Our methods have been validated using both simulated spike data and recordings from sheep inferotemporal cortex.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 161, Issue 1, 30 March 2007, Pages 155–165
نویسندگان
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