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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 …
Recurrent neural network model of human event-related potentials in response to intensity oddball stimulation
The mismatch negativity (MMN) component of the human event-related potential (ERP) is
frequently interpreted as a sensory prediction-error signal. However, there is ambiguity …
frequently interpreted as a sensory prediction-error signal. However, there is ambiguity …
The analysis of Chinese and Japanese traditional opera tunes with artificial intelligence technology based on deep learning
M Yao, J Liu - IEEE Access, 2024 - ieeexplore.ieee.org
This study aims to propose a comparison model of Chinese and Japanese traditional opera
tunes based on deep learning (DL) and artificial intelligence technology, which can be used …
tunes based on deep learning (DL) and artificial intelligence technology, which can be used …
[HTML][HTML] A guided tutorial on modelling human event-related potentials with recurrent neural networks
In cognitive neuroscience research, computational models of event-related potentials (ERP)
can provide a means of develo** explanatory hypotheses for the observed waveforms …
can provide a means of develo** explanatory hypotheses for the observed waveforms …
Neural correlates of face perception modeled with a convolutional recurrent neural network
Objective. Event-related potential (ERP) sensitivity to faces is predominantly characterized
by an N170 peak that has greater amplitude and shorter latency when elicited by human …
by an N170 peak that has greater amplitude and shorter latency when elicited by human …
Robust sound target detection based on encoding and decoding models between sound and EEG signals
Sound target detection (STD) has received increasing attention in research areas such as
industrial monitoring, medical diagnosis, and military detection. However, existing STD …
industrial monitoring, medical diagnosis, and military detection. However, existing STD …
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 …
An EEG Investigation of Sound Source Elevation Processing and Prediction in Mice
A Braga - 2024 - ul.qucosa.de
Abstract (EN) Over the last decades, imaging methods in animal models underwent
revolutionary developments. Yet the potential of novel and accurate techniques for the …
revolutionary developments. Yet the potential of novel and accurate techniques for the …