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Functional connectivity of EEG motor rhythms after spinal cord injury
Functional connectivity of EEG motor rhythms after spinal cord injury
Spinal cord injury (SCI), which is the injury of the spinal cord site resulting in motor dysfunction, has prompted the use...
Dynamic analysis of FN–HR neural network coupled of bistable memristor and encryption application based on Fibonacci Q-Matrix
Dynamic analysis of FN–HR neural network coupled of bistable memristor and encryption application based on Fibonacci Q-Matrix
In this paper, a cosine hyperbolic memristor model is proposed with bistable asymmetric hysteresis loops. A neural network...
Automatic detection of Alzheimer’s disease from EEG signals using an improved AFS–GA hybrid algorithm
Automatic detection of Alzheimer’s disease from EEG signals using an improved AFS–GA hybrid algorithm
Alzheimer’s Disease (AD) is a neurodegenerative disorder characterized by energy diffusion and partial disconnection...
A working memory model based on recurrent neural networks using reinforcement learning
A working memory model based on recurrent neural networks using reinforcement learning
Numerous electrophysiological experiments have reported that the prefrontal cortex (PFC) is involved in the process of wor...
Intranasal insulin effect on cognitive and/or memory impairment: a systematic review and meta-analysis
Intranasal insulin effect on cognitive and/or memory impairment: a systematic review and meta-analysis
Background: Cognitive impairment, characterized by deficits in cognitive functions and loss of delayed and immediate recal...
Time–frequency–space transformer EEG decoding for spinal cord injury
Time–frequency–space transformer EEG decoding for spinal cord injury
Transformer neural networks based on multi-head self-attention are effective in several fields. To capture brain activity ...
Memristive leaky integrate-and-fire neuron and learnable straight-through estimator in spiking neural networks
Memristive leaky integrate-and-fire neuron and learnable straight-through estimator in spiking neural networks
Compared to artificial neural networks (ANNs), spiking neural networks (SNNs) present a more biologically plausible model ...
Investigating the impact of hearing loss on attentional networks among older individuals: an event-related potential study
Investigating the impact of hearing loss on attentional networks among older individuals: an event-related potential study
Attention is a core cognitive domain crucial in facilitating day-to-day life. Using an attention network test (ANT) along ...
Setting a double-capacitive neuron coupled with Josephson junction and piezoelectric source
Setting a double-capacitive neuron coupled with Josephson junction and piezoelectric source
Perception of voice means acoustic electric conversion in the auditory system, and changes of external magnetic field can ...
Multi-scale modeling to investigate the effects of transcranial magnetic stimulation on morphologically-realistic neuron with depression
Multi-scale modeling to investigate the effects of transcranial magnetic stimulation on morphologically-realistic neuron with depression
Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique to activate or inhibit the activity of...
Controlling Alzheimer’s disease by deep brain stimulation based on a data-driven cortical network model
Controlling Alzheimer’s disease by deep brain stimulation based on a data-driven cortical network model
This work aims to explore the control effect of DBS on Alzheimer's disease (AD) from a neurocomputational perspective....
Attention-based cross-frequency graph convolutional network for driver fatigue estimation
Attention-based cross-frequency graph convolutional network for driver fatigue estimation
Fatigue driving significantly contributes to global vehicle accidents and fatalities, making driver fatigue level estimati...
Deep source transfer learning for the estimation of internal brain dynamics using scalp EEG
Deep source transfer learning for the estimation of internal brain dynamics using scalp EEG
Electroencephalography (EEG) provides high temporal resolution neural data for brain-computer interfacing via noninvasive ...
STEADYNet: Spatiotemporal EEG analysis for dementia detection using convolutional neural network
STEADYNet: Spatiotemporal EEG analysis for dementia detection using convolutional neural network
Dementia is a neuro-degenerative disorder with a high death rate, mainly due to high human error, time, and cost of the cu...
STGAT-CS: spatio-temporal-graph attention network based channel selection for MI-based BCI
STGAT-CS: spatio-temporal-graph attention network based channel selection for MI-based BCI
Brain-computer interface (BCI) based on the motor imagery paradigm typically utilizes multi-channel electroencephalogram (...
EEG-based classification of Alzheimer’s disease and frontotemporal dementia: a comprehensive analysis of discriminative features
EEG-based classification of Alzheimer’s disease and frontotemporal dementia: a comprehensive analysis of discriminative features
Alzheimer’s disease (AD) and frontotemporal dementia (FTD) are two main types of dementia. These diseases have simil...
Electroencephalogram criticality in cognitive impairment: a monitoring biomarker?
Electroencephalogram criticality in cognitive impairment: a monitoring biomarker?
Critical states present scale-free dynamics, optimizing neuronal complexity and serving as a potential biomarker in cognit...
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 ...
Adult neurogenesis in the hippocampal dentate gyrus affects sparsely synchronized rhythms, associated with pattern separation and integration
Adult neurogenesis in the hippocampal dentate gyrus affects sparsely synchronized rhythms, associated with pattern separation and integration
We are concerned about sparsely synchronized rhythms (SSRs), associated with diverse cognitive functions, in the hippocamp...
High-altitude exposure leads to increased modularity of brain functional network with the increased occupation of attention resources in early processing of visual working memory
High-altitude exposure leads to increased modularity of brain functional network with the increased occupation of attention resources in early processing of visual working memory
Working memory is a complex cognitive system that temporarily maintains purpose-relevant information during human cognitio...
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...
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