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Detecting correlation changes in electrophysiological data
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Wu, Jianhua, Kendrick, Keith and Feng, Jianfeng. (2007) Detecting correlation changes in electrophysiological data. Journal of Neuroscience Methods, Vol.161 (No.1). pp. 155-165. ISSN 0165-0270
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Official URL: http://dx.doi.org/10.1016/j.jneumeth.2006.10.017
Abstract
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. (c) 2006 Elsevier B.V. All rights reserved.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QD Chemistry R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
| Divisions: | Faculty of Science > Centre for Scientific Computing Faculty of Science > Computer Science |
| Journal or Publication Title: | Journal of Neuroscience Methods |
| Publisher: | Elsevier BV |
| ISSN: | 0165-0270 |
| Date: | 30 March 2007 |
| Volume: | Vol.161 |
| Number: | No.1 |
| Number of Pages: | 11 |
| Page Range: | pp. 155-165 |
| Identification Number: | 10.1016/j.jneumeth.2006.10.017 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| URI: | http://wrap.warwick.ac.uk/id/eprint/32126 |
Data sourced from Thomson Reuters' Web of Knowledge
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