A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

Test of independence for functional data

A wavelet-based method for measuring the oscillatory dynamics of resting-state functional connectivity in MEG

Determining the dynamics of functional connectivity is critical for understanding the brain. Recent functional magnetic resonance imaging (fMRI) studies demonstrate that measuring correlations between brain regions in resting-state activity can be used to reveal intrinsic neural networks. To study the oscillatory dynamics that underlie intrinsic functional connectivity between regions requires ...

Network Parameters for Studying Functional Connectivity in Brain MEG Data

The functional connectivity of various brain regions has been studied here using the knowledge from two different scientific fields. The methods of Synchronization Likelihood (SL) and network theory are applied to magnetoencephalography (MEG) data in an effort to study the brain as a complex network. In this paper the SL method has been used to characterize the functional interactions as ‘‘func...

Linear Models for Functional Data

This article has no abstract.