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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2885639
Abstract: Deep learning techniques have gained significant importance among artificial intelligence techniques for any computing applications. Among them, deep convolutional neural networks (DCNNs) is one of the widely used deep learning networks for any practical applications.…
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Keywords:
deep convolutional;
image classification;
complexity;
convolutional neural ... See more keywords
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Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3181690
Abstract: Studies have shown that attention bias can affect behavioral indicators in patients with depression, but it is still unclear how this bias affects the brain network topology of patients with mild depression (MD). Therefore, a…
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Keywords:
topology;
based eeg;
mild depression;
depression ... See more keywords
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Published in 2018 at "BioMed Research International"
DOI: 10.1155/2018/8656975
Abstract: Dynamic Causal Modeling (DCM) has been extended for the analysis of electroencephalography (EEG) based on a specific biophysical and neurobiological generative model for EEG. Comparing to methods that summarize neural activities with linear relationships, the…
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Keywords:
dynamic causal;
abnormal brain;
brain region;
causal modeling ... See more keywords
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Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0196983
Abstract: Metabolic disorders including obesity and type 2 diabetes are known to be associated with chronic inflammation and are obvious risk factors for Alzheimer’s disease. Recent evidences concerning obesity and diabetes suggest that the metabolic inflammasome…
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Keywords:
abnormal brain;
pkr modulates;
obesity;
brain ... See more keywords