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Classification of coma/brain-death EEG dataset based on one-dimensional convolutional neural network
Classification of coma/brain-death EEG dataset based on one-dimensional convolutional neural network
Electroencephalography (EEG) evaluation is an important step in the clinical diagnosis of brain death during the standard ...
Neurophysiological and other features of working memory in older adults at risk for dementia
Neurophysiological and other features of working memory in older adults at risk for dementia
Theta–gamma coupling (TGC) is a neurophysiological process that supports working memory. Working memory is associate...
Dynamic causal modeling analysis reveals the modulation of motor cortex and integration in superior temporal gyrus during multisensory speech perception
Dynamic causal modeling analysis reveals the modulation of motor cortex and integration in superior temporal gyrus during multisensory speech perception
The processing of speech information from various sensory modalities is crucial for human communication. Both left posteri...
EEG decoding for effects of visual joint attention training on ASD patients with interpretable and lightweight convolutional neural network
EEG decoding for effects of visual joint attention training on ASD patients with interpretable and lightweight convolutional neural network
Visual joint attention, the ability to track gaze and recognize intent, plays a key role in the development of social and ...
Assessment of impaired consciousness using EEG-based connectivity features and convolutional neural networks
Assessment of impaired consciousness using EEG-based connectivity features and convolutional neural networks
Growing electroencephalogram (EEG) studies have linked the abnormities of functional brain networks with disorders of cons...
Temporal-spatial deciphering mental subtraction in the human brain
Temporal-spatial deciphering mental subtraction in the human brain
Mental subtraction, involving numerical processing and operation, requires a complex interplay among several brain regions...
Effectual seizure detection using MBBF-GPSO with CNN network
Effectual seizure detection using MBBF-GPSO with CNN network
EEG is the most common test for diagnosing a seizure, where it presents information about the electrical activity of the b...
Brain connectivity dynamics during listening to music and potential impact on task performance
Brain connectivity dynamics during listening to music and potential impact on task performance
To analyze brain connectivity dynamics during listening to music and estimate the potential impact on task performance. Fi...
Detections of bifurcation in a fractional-order Cohen-Grossberg neural network with multiple delays
Detections of bifurcation in a fractional-order Cohen-Grossberg neural network with multiple delays
The dynamics of integer-order Cohen-Grossberg neural networks with time delays has lately drawn tremendo...
Tensor decomposition-based channel selection for motor imagery-based brain-computer interfaces
Tensor decomposition-based channel selection for motor imagery-based brain-computer interfaces
The number of electrode channels in a brain-computer interface (BCI) affects not only its classification performance, but ...
Machine to brain: facial expression recognition using brain machine generative adversarial networks
Machine to brain: facial expression recognition using brain machine generative adversarial networks
The human brain can effectively perform Facial Expression Recognition (FER) with a few samples by utilizing its cognitive ...
Detection of dynamic changes of electrodermal activity to predict the classroom performance of college students
Detection of dynamic changes of electrodermal activity to predict the classroom performance of college students
It is emphasized in the Self-regulated learning (SRL) framework that self-monitoring of learning state is vital for studen...
A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure–function relationship
A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure–function relationship
The brain structure–function relationship is crucial to how the human brain works under normal or diseased condition...
Multimodal and hemispheric graph-theoretical brain network predictors of learning efficacy for frontal alpha asymmetry neurofeedback
Multimodal and hemispheric graph-theoretical brain network predictors of learning efficacy for frontal alpha asymmetry neurofeedback
EEG neurofeedback using frontal alpha asymmetry (FAA) has been widely used for emotion regulation, but its effectiveness i...
EEG multi-domain feature transfer based on sparse regularized Tucker decomposition
EEG multi-domain feature transfer based on sparse regularized Tucker decomposition
Tensor analysis of electroencephalogram (EEG) can extract the activity information and the potential interaction between d...
Examining the low-voltage fast seizure-onset and its response to optogenetic stimulation in a biophysical network model of the hippocampus
Examining the low-voltage fast seizure-onset and its response to optogenetic stimulation in a biophysical network model of the hippocampus
Low-voltage fast (LVF) seizure-onset is one of the two frequently observed temporal lobe seizure-onset patterns. Depth ele...
Dynamics and synchronization control of fractional conformable neuron system
Dynamics and synchronization control of fractional conformable neuron system
Dynamic analysis, electrical coupling and synchronization control of the conformable FitzHugh-Nagumo neuronal models have ...
Exploring recurrence quantification analysis and fractal dimension algorithms for diagnosis of encephalopathy
Exploring recurrence quantification analysis and fractal dimension algorithms for diagnosis of encephalopathy
Electroencephalography (EEG) is a crucial non-invasive medical tool for diagnosing neurological disorder called encephalop...
Brain-inspired multisensory integration neural network for cross-modal recognition through spatiotemporal dynamics and deep learning
Brain-inspired multisensory integration neural network for cross-modal recognition through spatiotemporal dynamics and deep learning
The integration and interaction of cross-modal senses in brain neural networks can facilitate high-level cognitive functio...
Category representation in primary visual cortex after visual perceptual learning
Category representation in primary visual cortex after visual perceptual learning
The visual perceptual learning (VPL) leads to long-term enhancement of visual task performance. The subjects are often tra...
Graph theoretical brain connectivity measures to investigate neural correlates of music rhythms associated with fear and anger
Graph theoretical brain connectivity measures to investigate neural correlates of music rhythms associated with fear and anger
The present study tests the hypothesis that emotions of fear and anger are associated with distinct psychophysiological an...
Computational insights on asymmetrical $$D_{1}$$ and $$D_{2}$$ receptor-mediated chunking: implications for OCD and Schizophrenia
Computational insights on asymmetrical $$D_{1}$$ and $$D_{2}$$ receptor-mediated chunking: implications for OCD and Schizophrenia
Repetitive thoughts and motor programs including perseveration are bridge symptoms characteristic of obsessive compulsive ...
Chimera state in a feed-forward neuronal network
Chimera state in a feed-forward neuronal network
Feed-forward effect gives rise to synchronization in neuron firing in deep layers of multiple neuronal network. But comple...
How does the human brain process noisy speech in real life? Insights from the second-person neuroscience perspective
How does the human brain process noisy speech in real life? Insights from the second-person neuroscience perspective
Comprehending speech with the existence of background noise is of great importance for human life. In the past decades, a ...
Gamma-band-based dynamic functional connectivity in pigeon entopallium during sample presentation in a delayed color matching task
Gamma-band-based dynamic functional connectivity in pigeon entopallium during sample presentation in a delayed color matching task
Birds have developed visual cognitions, especially in discriminating colors due to their four types of cones in the retina...
Multi-information improves the performance of CCA-based SSVEP classification
Multi-information improves the performance of CCA-based SSVEP classification
The target recognition algorithm based on canonical correlation analysis (CCA) has been widely used in steady-state visual...
Electric field effects on neuronal input–output relationship by regulating NMDA spikes
Electric field effects on neuronal input–output relationship by regulating NMDA spikes
Evidence shows that the dendritic polarization induced by weak electrical field (EF) can affect the neuronal input–o...
Correction to: Improved dynamic functional connectivity estimation with an alternating hidden Markov model
Correction to: Improved dynamic functional connectivity estimation with an alternating hidden Markov model
In the original publication of the article, the first and second affiliations are same. The second affiliation should be “...
Gait classification for early detection and severity rating of Parkinson’s disease based on hybrid signal processing and machine learning methods
Gait classification for early detection and severity rating of Parkinson’s disease based on hybrid signal processing and machine learning methods
Parkinson’s disease (PD) is one of the cognitive degenerative disorders of the central nervous system that affects t...
The decoder design and performance comparative analysis for closed-loop brain–machine interface system
The decoder design and performance comparative analysis for closed-loop brain–machine interface system
Brain–machine interface (BMI) can convert electroencephalography signals (EEGs) into the control instructions of ext...
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