Bootstrap testing for cross-correlation under low firing activity
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Bootstrap testing for cross-correlation under low firing activityAuthor(s)
Date
2015-04-14Citation
González-Montoro AM, Cao R, Espinosa N, Cudeiro J, Mariño J. Bootstrap testing for cross-correlation under low firing activity. J Comput Neurosci. 2015;38:577-587
Abstract
[Abstract] A new cross-correlation synchrony index for neural activity is proposed. The index is based on the integration of the kernel estimation of the cross-correlation function. It is used to test for the dynamic synchronization levels of spontaneous neural activity under two induced brain states: sleep-like and awake-like. Two bootstrap resampling plans are proposed to approximate the distribution of the test statistics. The results of the first bootstrap method indicate that it is useful to discern significant differences in the synchronization dynamics of brain states characterized by a neural activity with low firing rate. The second bootstrap method is useful to unveil subtle differences in the synchronization levels of the awake-like state, depending on the activation pathway.
Keywords
Hypothesis testing
Sleep-wake
Spontaneous activity
Synchronization
Tonic activity
Sleep-wake
Spontaneous activity
Synchronization
Tonic activity
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