Hidden component analysis of undetermined recordings

Abstract

The aim of the study is to recover and detect the neglected hidden mirror neurons in the neuronal spikes recordings. The investigation and the detection of the hidden neurons were conducted using the standard and ensemble and complex Empirical Mode Decomposition (EMD). The extension to the field of complex numbers C is particularly important for the analysis of phase-dependent neuronal study. This allows us to combine the data driven nature of EMD with the power of complex algebra to model amplitude-phase relationships of the neurons. The analysis shows that the extensions of EMD to the recordings are magnificent. Simulations on trains of spiking neurons support the analysis.