Consciousness and complexity: a consilience of evidence
Over the last years, a surge of empirical studies converged on complexity-related measures
as reliable markers of consciousness across many different conditions, such as sleep …
as reliable markers of consciousness across many different conditions, such as sleep …
Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals
Schizophrenia (SZ) is a severe disorder of the human brain which disturbs behavioral
characteristics such as interruption in thinking, memory, perception, speech and other living …
characteristics such as interruption in thinking, memory, perception, speech and other living …
[HTML][HTML] Dynamic mechanisms that couple the brain and breathing to the external environment
Brain and breathing activities are closely related. However, the exact neurophysiological
mechanisms that couple the brain and breathing to stimuli in the external environment are …
mechanisms that couple the brain and breathing to stimuli in the external environment are …
Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach
Deep learning techniques have recently made considerable advances in the field of artificial
intelligence. These methodologies can assist psychologists in early diagnosis of mental …
intelligence. These methodologies can assist psychologists in early diagnosis of mental …
Emotion recognition using effective connectivity and pre-trained convolutional neural networks in EEG signals
S Bagherzadeh, K Maghooli, A Shalbaf… - Cognitive …, 2022 - Springer
Abstract Convolutional Neural Networks (CNN) have recently made considerable advances
in the field of biomedical signal processing. These methodologies can assist in emotion …
in the field of biomedical signal processing. These methodologies can assist in emotion …
Prediction of drug response in major depressive disorder using ensemble of transfer learning with convolutional neural network based on EEG
Abstract Major Depressive Disorder (MDD) is one of the leading causes of disability
worldwide. Prediction of response to Selective Serotonin Reuptake Inhibitors (SSRIs) …
worldwide. Prediction of response to Selective Serotonin Reuptake Inhibitors (SSRIs) …
Recognition of emotional states using frequency effective connectivity maps through transfer learning approach from electroencephalogram signals
S Bagherzadeh, K Maghooli, A Shalbaf… - … Signal Processing and …, 2022 - Elsevier
Abstract Convolutional Neural Networks (CNN) have been widely utilized in Emotion
Recognition (ER) research due to their vast benefits. Designing specific CNN configuration …
Recognition (ER) research due to their vast benefits. Designing specific CNN configuration …
[HTML][HTML] A sequential learning model with GNN for EEG-EMG-based stroke rehabilitation BCI
H Li, H Ji, J Yu, J Li, L Jin, L Liu, Z Bai… - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction Brain-computer interfaces (BCIs) have the potential in providing neurofeedback
for stroke patients to improve motor rehabilitation. However, current BCIs often only detect …
for stroke patients to improve motor rehabilitation. However, current BCIs often only detect …
[HTML][HTML] Progress of brain network studies on anesthesia and consciousness: framework and clinical applications
Although the relationship between anesthesia and consciousness has been investigated for
decades, our understanding of the underlying neural mechanisms of anesthesia and …
decades, our understanding of the underlying neural mechanisms of anesthesia and …
Seizure detection based on improved genetic algorithm optimized multilayer network
Y Xiong, F Dong, D Wu, L Jiang, J Liu, B Li - IEEE Access, 2022 - ieeexplore.ieee.org
With the increasment of epilepsy patients, traditional epileptic seizure recognition is
generally completed by encephalography (EEG) technicians, which is time-consuming and …
generally completed by encephalography (EEG) technicians, which is time-consuming and …