Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition
I Belyaeva, B Gabrielson, YP Wang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Objective: Brain function is understood to be regulated by complex spatiotemporal
dynamics, and can be characterized by a combination of observed brain response patterns …
dynamics, and can be characterized by a combination of observed brain response patterns …
Using the Multi-Linear Rank-(Lr, Lr, 1) Decomposition for the Detection of the 200 Hz Band Activity in Somatosensory Evoked Magnetic Fields and Somatosensory …
Studies of oscillations in the frequency band between 80 Hz and 250 Hz for EEG (
Electroencephalogram) and MEG (Magnetoencephalogram) have achieved fruitful results of …
Electroencephalogram) and MEG (Magnetoencephalogram) have achieved fruitful results of …
Enhanced direct fitting algorithms for PARAFAC2 with algebraic ingredients
The PARAFAC2 decomposition has attracted growing research interest. To compute it, the
direct fitting (DF) algorithm is usually employed. In this contribution, we propose to …
direct fitting (DF) algorithm is usually employed. In this contribution, we propose to …
Efficient computation of the PARAFAC2 decomposition
The PARAFAC2 decomposition is regarded as a promising multi-linear signal processing
tool in a variety of scientific fields. Designing efficient computation algorithms for PARAFAC2 …
tool in a variety of scientific fields. Designing efficient computation algorithms for PARAFAC2 …
Efficient computation of the PARAFAC2 decomposition via generalized tensor contractions
K Naskovska, Y Cheng… - 2018 52nd Asilomar …, 2018 - ieeexplore.ieee.org
The PARAFAC2 decomposition is a generalization of the PARAFAC/CP (Canonical
Polyadic) tensor decomposition. This tensor decomposition represents a set of coupled …
Polyadic) tensor decomposition. This tensor decomposition represents a set of coupled …
A new coupled PARAFAC2 decomposition for joint processing of somatosensory evoked magnetic fields and somatosensory evoked electrical potentials
The application of tensor-based signal processing in EEG (Electroencephalogram) and
MEG (Magnetoencephalogram) data analysis has received growing research interest. In …
MEG (Magnetoencephalogram) data analysis has received growing research interest. In …