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Model-Based approaches to investigating mismatch responses in schizophrenia
Alterations of mismatch responses (ie, neural activity evoked by unexpected stimuli) are
often considered a potential biomarker of schizophrenia. Going beyond establishing the type …
often considered a potential biomarker of schizophrenia. Going beyond establishing the type …
[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 …
[HTML][HTML] Evaluating synthetic neuroimaging data augmentation for automatic brain tumour segmentation with a deep fully-convolutional network
Gliomas observed in medical images require expert neuro-radiologist evaluation for
treatment planning and monitoring, motivating development of intelligent systems capable of …
treatment planning and monitoring, motivating development of intelligent systems capable of …
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 …
[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 …
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 …
Synaptic function and sensory processing in ZDHHC9-associated neurodevelopmental disorder: a mechanistic account
Loss-of-function ZDHHC9 variants are associated with X-linked intellectual disability (XLID),
rolandic epilepsy (RE) and developmental language difficulties. This study integrates human …
rolandic epilepsy (RE) and developmental language difficulties. This study integrates human …
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 …