| Literature DB >> 17137633 |
Jianhua Wu1, Keith Kendrick, Jianfeng Feng.
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.Entities:
Mesh：
Year: 2006 PMID： 17137633 DOI： 10.1016/j.jneumeth.2006.10.017
Source DB: PubMed Journal: J Neurosci Methods ISSN： 0165-0270 Impact factor: 2.390