Cross-Frequency-Coupling: Bayesian Inversion of Parameterized Neural Mass Models to investigate parameter differences in ketamine model

Abstract

Understanding context-dependent neuronal communication at the population level is a non-trivial tasks. While studies have been formulated different mechanisms to account for how populations are able to process information at the level of cognitive timescales, namely synchronization through cross-frequency coupling, there still remains the underlying issues of how the mechanism operates. Here, I characterize spectral data obtained in somatosensory areas S1 and S2 of the mouse brain for ketamine induced mice in order to study the effects of coupling in pathological states.