magnetoencephalography
PulseAugur coverage of magnetoencephalography — every cluster mentioning magnetoencephalography across labs, papers, and developer communities, ranked by signal.
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New Shannon observables framework aids information decomposition in neural networks
Researchers have introduced a new framework called "Shannon observables" to better understand how complex systems, including biological and artificial neural networks, process information. This approach uses Shannon ent…
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New method decodes perceived speech from brain recordings using fMRI and MEG
Researchers have developed a new method called Subject-Invariant Cross-Modal Perceived Speech Decoding (SICMD) that integrates functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) to decode perc…
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Brain-to-text decoding model achieves 39% word error rate using MEG
Researchers have developed Brain2Qwerty v2, a novel model capable of decoding natural sentences from non-invasive brain recordings using magnetoencephalography (MEG). The model achieved an average word error rate of 39%…