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Coherence-based channel selection and Riemannian geometry features for magnetoencephalography decoding
Coherence-based channel selection and Riemannian geometry features for magnetoencephalography decoding
Magnetoencephalography (MEG) records the extremely weak magnetic fields on the surface of the scalp through highly sensiti...
Multiple time delay induced Hopf bifurcation of a cortex - basal ganglia model for Parkinson’s Disease
Multiple time delay induced Hopf bifurcation of a cortex - basal ganglia model for Parkinson’s Disease
Exploring the origin of beta - band oscillation in the cortex - basal ganglia model plays an important role in understandi...
Task demand modulates the effects of reward learning on emotional stimuli
Task demand modulates the effects of reward learning on emotional stimuli
The current study used event-related potentials (ERPs) to examine the ability of task demand in modulating the effect of r...
Linear and nonlinear analysis of multimodal physiological data for affective arousal recognition
Linear and nonlinear analysis of multimodal physiological data for affective arousal recognition
In this work we intend to design a system to classify human arousal at five levels (i.e., five stress levels) using four p...
Acute and chronic effects of exercise intensity on cognitive functions of fastball athletes
Acute and chronic effects of exercise intensity on cognitive functions of fastball athletes
Exercise induced Cognitive Function is an area needed in competitive fast ball sports that has stimulated interests of res...
The design and implementation of multi-character classification scheme based on EEG signals of visual imagery
The design and implementation of multi-character classification scheme based on EEG signals of visual imagery
In visual-imagery-based brain–computer interface (VI-BCI), there are problems of singleness of imagination task and ...
Reliable electrocortical dynamics of target-directed pass-kicks
Reliable electrocortical dynamics of target-directed pass-kicks
Football is one of the most played sports in the world and kicking with adequate accuracy increases the likelihood of winn...
Multiple-source distribution deep adaptive feature norm network for EEG emotion recognition
Multiple-source distribution deep adaptive feature norm network for EEG emotion recognition
Electroencephalogram (EEG) emotion recognition plays an important role in human–computer interaction, and a higher r...
Assessment of rTMS treatment effects for methamphetamine addiction based on EEG functional connectivity
Assessment of rTMS treatment effects for methamphetamine addiction based on EEG functional connectivity
Methamphetamine (MA) addiction leads to impairment of neural communication functions in the brain, and functional connecti...
Vocal tasks-based EEG and speech signal analysis in children with neurodevelopmental disorders: a multimodal investigation
Vocal tasks-based EEG and speech signal analysis in children with neurodevelopmental disorders: a multimodal investigation
Neurodevelopmental disorders (NDs) often hamper multiple functional prints of a child brain. Despite several studies on th...
EEG resting state alpha dynamics predict an individual’s vulnerability to auditory hallucinations
EEG resting state alpha dynamics predict an individual’s vulnerability to auditory hallucinations
Task-free brain activity exhibits spontaneous fluctuations between functional states, characterized by synchronized activa...
Resting state EEG microstate profiling and a machine-learning based classifier model in epilepsy
Resting state EEG microstate profiling and a machine-learning based classifier model in epilepsy
Electroencephalography-based (EEG) microstate analysis is a promising and widely studied method in which spontaneous cereb...
Brain state and dynamic transition patterns of motor imagery revealed by the bayes hidden markov model
Brain state and dynamic transition patterns of motor imagery revealed by the bayes hidden markov model
Motor imagery (MI) is a high-level cognitive process that has been widely applied to brain-computer inference (BCI) and mo...
Predicting an EEG-Based hypnotic time estimation with non-linear kernels of support vector machine algorithm
Predicting an EEG-Based hypnotic time estimation with non-linear kernels of support vector machine algorithm
Our ability to measure time is vital for daily life, technology use, and even mental health; however, separating pure time...
Dynamic functional connectivity correlates of mental workload
Dynamic functional connectivity correlates of mental workload
Tasks with high mental workload often involve higher cognitive functions of the human brain and complex information flow i...
Vanishing point estimation inspired by oblique effect in a field environment
Vanishing point estimation inspired by oblique effect in a field environment
Estimating a vanishing point (VP) is a core problem for understanding three-dimensional scenes and autonomous navigation. ...
Study on different brain activation rearrangement during cognitive workload from ERD/ERS and coherence analysis
Study on different brain activation rearrangement during cognitive workload from ERD/ERS and coherence analysis
The functional activities of the brain during any task like imaginary, motor, or cognitive are different in pattern as wel...
Channel attention convolutional aggregation network based on video-level features for EEG emotion recognition
Channel attention convolutional aggregation network based on video-level features for EEG emotion recognition
Electroencephalogram (EEG) emotion recognition plays a vital role in affective computing. A limitation of the EEG emotion ...
Effect of internal and external chaotic stimuli on synchronization of piezoelectric auditory neurons in coupled time-delay systems
Effect of internal and external chaotic stimuli on synchronization of piezoelectric auditory neurons in coupled time-delay systems
Hearing impairment is considered to be related to the damage of hair cells or synaptic terminals, which will cause varying...
An EEG-based marker of functional connectivity: detection of major depressive disorder
An EEG-based marker of functional connectivity: detection of major depressive disorder
Major depressive disorder (MDD) is a prevalent psychiatric disorder globally. There are many assays for MDD, but rapid and...
SSVEP-based visual acuity threshold estimation: linear extrapolation to noise level baseline with various noise definition criteria
SSVEP-based visual acuity threshold estimation: linear extrapolation to noise level baseline with various noise definition criteria
This study aimed to explore the effect of various noise definition criteria in linear extrapolation technique to noise lev...
Design of auditory P300-based brain-computer interfaces with a single auditory channel and no visual support
Design of auditory P300-based brain-computer interfaces with a single auditory channel and no visual support
Non-invasive brain-computer interfaces (BCIs) based on an event-related potential (ERP) component, P300, elicited via the ...
Aberrant dynamic functional network connectivity in type 2 diabetes mellitus individuals
Aberrant dynamic functional network connectivity in type 2 diabetes mellitus individuals
An increasing number of recent brain imaging studies are dedicated to understanding the neuro mechanism of cognitive impai...
Multiscale information interaction at local frequency band in functional corticomuscular coupling
Multiscale information interaction at local frequency band in functional corticomuscular coupling
The multiscale information interaction between the cortex and the corresponding muscles is of great significance for under...
Propofol modulates neural dynamics of thalamo-cortical system associated with anesthetic levels in rats
Propofol modulates neural dynamics of thalamo-cortical system associated with anesthetic levels in rats
The thalamocortical system plays an important role in consciousness. How anesthesia modulates the thalamocortical interact...
2D dynamic analysis of the disturbances in the calcium neuronal model and its implications in neurodegenerative disease
2D dynamic analysis of the disturbances in the calcium neuronal model and its implications in neurodegenerative disease
Ca2+ signaling is an essential function of neurons to control synaptic activity, memory formation, fertilization, prolifer...
Hamilton energy balance and synchronization behaviors of two functional neurons
Hamilton energy balance and synchronization behaviors of two functional neurons
The nervous system is composed of various functional neurons, some of which perceive sound or light, and these physical si...