Sep 1, 2021 · In this survey, we first show some typical applications and analyze existing challenging problems in learning brain ECNs from fMRI data. Second, ...
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Apr 5, 2023 · Abstract—Human brain effective connectivity characterizes the causal effects of neural activities among different brain regions.
In this survey, we first show some typical applications and analyze existing challenging problems in learning brain ECNs from fMRI data. Second, we give a ...
Effective connectivity (EC) describes the influence one neuronal system exerts upon another, thus reflecting causal interactions between activated brain areas.
Literature shows that the convolution neural network (CNN) has the ability to identify the complexity present in EEG signals using advanced visualizing ...
A survey on brain effective connectivity network learning. IEEE Transact Neural Networks Learn Syst, 34 (4) (2023), pp. 1879-1899. Google Scholar. 218. K.M. ...
Jul 28, 2021 · Brain network analysis is one efficient tool in exploring human brain diseases and can differentiate the alterations from comparative ...
Sep 18, 2019 · Therefore, EEG is selected and used for assessing brain responses to the effects of colored MLMs on emotion and LTM retention in this study.
This study presents a methodology developed for estimating effective connectivity in brain networks (BNs) using multichannel scalp EEG recordings.
Feb 4, 2023 · The study of effective connectivity (EC) or directional effects allows the evaluation of intensity flow and signaling pathways in functional ...