4 papers
MEG Source Localization via Deep Learning
Dimitrios Pantazis, Amir Adler
We present a deep learning solution to the problem of localization of magnetoencephalography (MEG) brain signals. The proposed deep model architectures are tuned for single and mul…
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks
Mengjia Xu, David Lopez Sanz, Pilar Garces +3
Characterizing the subtle changes of functional brain networks associated with the pathological cascade of Alzheimer's disease (AD) is important for early diagnosis and prediction…
Localization of MEG and EEG Brain Signals by Alternating Projection
Amir Adler, Mati Wax, Dimitrios Pantazis
We present a novel solution to the problem of localization of MEG and EEG brain signals. The solution is sequential and iterative, and is based on minimizing the least-squares (LS)…
Can visual information encoded in cortical columns be decoded from magnetoencephalography data in humans?
Radoslaw Martin Cichy, Dimitrios Pantazis
It is a principal open question whether noninvasive imaging methods in humans can decode information encoded at a spatial scale as fine as the basic functional unit of cortex: cort…