45 citations · 58 across the 7 of their papers we have counts for
8 papers
An F-ratio-Based Method for Estimating the Number of Active Sources in MEG
Amita Giri, John C. Mosher, Amir Adler +1
Magnetoencephalography (MEG) is a powerful technique for studying the human brain function. However, accurately estimating the number of sources that contribute to the MEG recordin…
The dual-path hypothesis for the emergence of anosognosia in Alzheimer's disease
Katia Andrade, Thomas Guiyesse, Takfarinas Medani +3
Although neurocognitive models have been proposed to explain anosognosia in Alzheimer's disease (AD), the neural cascade responsible for its origin in the human brain remains unkno…
Brain Source Localization by Alternating Projection
Amir Adler, Mati Wax, Dimitrios Pantazis
We present a novel solution to the problem of localizing magnetoencephalography (MEG) and electroencephalography (EEG) brain signals. The solution is sequential and iterative, and…
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)…
Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition
Radoslaw M. Cichy, Aditya Khosla, Dimitrios Pantazis +2
The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition in humans. However, the stage-wise computations t…
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…