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[HTML][HTML] Localized estimation of event-related neural source activity from simultaneous MEG-EEG with a recurrent neural network
Estimating intracranial current sources underlying the electromagnetic signals observed
from extracranial sensors is a perennial challenge in non-invasive neuroimaging …
from extracranial sensors is a perennial challenge in non-invasive neuroimaging …
Localized estimation of electromagnetic sources underlying event-related fields using recurrent neural networks
Objective. To use a recurrent neural network (RNN) to reconstruct neural activity responsible
for generating noninvasively measured electromagnetic signals. Approach. Output weights …
for generating noninvasively measured electromagnetic signals. Approach. Output weights …
Analyzing the brain's dynamic response to targeted stimulation using generative modeling
Generative models of brain activity have been instrumental in testing hypothesized
mechanisms underlying brain dynamics against experimental datasets. Beyond capturing …
mechanisms underlying brain dynamics against experimental datasets. Beyond capturing …
Neural generators of intensity mismatch negativity modelled with a recurrent neural network: A pilot study on the role of sound level transitions
Intensity mismatch negativity (MMN) is an electrophysiological response to auditory oddball
stimulation with unexpected changes in sound pressure level. Studies using only quieter …
stimulation with unexpected changes in sound pressure level. Studies using only quieter …
Blind source separation of event-related potentials using a recurrent neural network
Event-related potentials (ERPs) are a superposition of electric potential differences
generated by neurophysiological activity associated with psychophysical events …
generated by neurophysiological activity associated with psychophysical events …