Neural synergy in compact biomedical IoT devices: spintronic pathways for MEG-EEG integration and portability
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Elshafei, Mohamed
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Abstract
The human brain, a marvel of nature, consists of intricate neural networks that have
fascinated and perplexed the scientific community for generations. As scientists and researchers globally endeavour to unravel the mysteries of bioelectrical activities that form
the basis of our cognitive functions and experiences, our research emerges at the nexus
of biology and cutting-edge technology. Specifically, we spotlight the remarkable capabilities of magnetoencephalography (MEG) and electroencephalography (EEG). These potent
neuroimaging tools, celebrated for their unparalleled spatial and temporal precision, are
synergistically combined in our study. We aim to map MEG innovatively signals onto
their EEG replicas, employing avant-garde spintronic devices, with a particular emphasis
on Magnetic Tunnel Junctions (MTJ). [...]
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Keywords
Magnetoencephalography, Electroencephalography, Magnetic tunnel junctions, BiLSTM model, Neuroimaging devices, Artificial intelligence (MEG/EEG mapping)
