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Stability of synchronization manifolds and its nonlinear behaviour in memristive coupled discrete neuron model
Stability of synchronization manifolds and its nonlinear behaviour in memristive coupled discrete neuron model
In this study, we investigate the impact of first and second-order coupling strengths on the stability of a synchronizatio...
Collective behavior of an adapting synapse-based neuronal network with memristive effect and randomness
Collective behavior of an adapting synapse-based neuronal network with memristive effect and randomness
This study delves into the examination of a network of adaptive synapse neurons characterized by a small-world network top...
Cortex level connectivity between ACT-R modules during EEG-based n-back task
Cortex level connectivity between ACT-R modules during EEG-based n-back task
Finding the synchronization between Electroencephalography (EEG) and human cognition is an essential aspect of cognitive n...
Adaptive learning rate in dynamical binary environments: the signature of adaptive information processing
Adaptive learning rate in dynamical binary environments: the signature of adaptive information processing
Adaptive mechanisms of learning models play critical roles in interpreting adaptive behavior of humans and animals. Differ...
Assessing the influence of latency variability on EEG classifiers - a case study of face repetition priming
Assessing the influence of latency variability on EEG classifiers - a case study of face repetition priming
Data-driven strategies have been widely used to distinguish experimental effects on single-trial EEG signals. However, how...
Pupil dilation and behavior as complementary measures of fear response in Mice
Pupil dilation and behavior as complementary measures of fear response in Mice
The precise assessment of emotional states in animals under the combined influence of multiple stimuli remains a challenge...
Resting state EEG delta-beta amplitude-amplitude coupling: a neural predictor of cortisol response under stress
Resting state EEG delta-beta amplitude-amplitude coupling: a neural predictor of cortisol response under stress
Stress is ubiquitous in daily life. Subcortical and cortical regions closely interact to respond to stress. Delta-beta cro...
A review of ethical considerations for the medical applications of brain-computer interfaces
A review of ethical considerations for the medical applications of brain-computer interfaces
The development and potential applications of brain-computer interfaces (BCIs) are directly related to the human brain and...
EEG-based deception detection using weighted dual perspective visibility graph analysis
EEG-based deception detection using weighted dual perspective visibility graph analysis
Deception detection is a critical aspect across various domains. Integrating advanced signal processing techniques, partic...
A memristor-based circuit design of avoidance learning with time delay and its application
A memristor-based circuit design of avoidance learning with time delay and its application
Currently, the research in memristor-based associative memory neural networks pays more attention to positive stimuli and ...
The dynamical behavior effects of different numbers of discrete memristive synaptic coupled neurons
The dynamical behavior effects of different numbers of discrete memristive synaptic coupled neurons
Two types of neuron models are constructed in this paper, namely the single discrete memristive synaptic neuron model and ...
Perceptual information processing in table tennis players: based on top-down hierarchical predictive coding
Perceptual information processing in table tennis players: based on top-down hierarchical predictive coding
Long-term training induces neural plasticity in the visual cognitive processing cortex of table tennis athletes, who perfo...
Regulation of XOR function of reduced human L2/3 pyramidal neurons
Regulation of XOR function of reduced human L2/3 pyramidal neurons
The apical dendrites of human L2/3 pyramidal neurons are capable of performing XOR computation by modulating the amplitude...
Fast-slow dynamics in a memristive ion channel-based bionic circuit
Fast-slow dynamics in a memristive ion channel-based bionic circuit
Electrophysiological properties of ion channels can influence the transport process of ions and the generation of firing p...
Advances in brain-computer interface for decoding speech imagery from EEG signals: a systematic review
Advances in brain-computer interface for decoding speech imagery from EEG signals: a systematic review
Numerous individuals encounter challenges in verbal communication due to various factors, including physical disabilities,...
Decoding of movement-related cortical potentials at different speeds
Decoding of movement-related cortical potentials at different speeds
The decoding of electroencephalogram (EEG) signals, especially motion-related cortical potentials (MRCP), is vital for the...
Synaptic effects on the intermittent synchronization of gamma rhythms
Synaptic effects on the intermittent synchronization of gamma rhythms
Synchronization of neural activity in the gamma frequency band is associated with various cognitive phenomena. Abnormaliti...
Estimating the energy of dissipative neural systems
Estimating the energy of dissipative neural systems
There is, at present, a lack of consensus regarding precisely what is meant by the term 'energy' across the sub-di...
Alternating chimera states and synchronization in multilayer neuronal networks with ephaptic intralayer coupling
Alternating chimera states and synchronization in multilayer neuronal networks with ephaptic intralayer coupling
Over the past decade, most of researches on the communication between the neurons are based on synapses. However, the chan...
A cross-attention swin transformer network for EEG-based subject-independent cognitive load assessment
A cross-attention swin transformer network for EEG-based subject-independent cognitive load assessment
EEG signals play a crucial role in assessing cognitive load, which is a key element in ensuring the secure operation of hu...
Striatum is the potential target for treating absence epilepsy: a theoretical evidence
Striatum is the potential target for treating absence epilepsy: a theoretical evidence
The output of the basal ganglia to the corticothalamic system plays an important role in regulating absence seizures. Insp...
A bimodal deep learning network based on CNN for fine motor imagery
A bimodal deep learning network based on CNN for fine motor imagery
Motor imagery (MI) is an important brain-computer interface (BCI) paradigm. The traditional MI paradigm (imagining differe...
Set-pMAE: spatial-spEctral-temporal based parallel masked autoEncoder for EEG emotion recognition
Set-pMAE: spatial-spEctral-temporal based parallel masked autoEncoder for EEG emotion recognition
The utilization of Electroencephalography (EEG) for emotion recognition has emerged as the primary tool in the field of af...
Identification of a cognitive network with effective connectivity to post-stroke cognitive impairment
Identification of a cognitive network with effective connectivity to post-stroke cognitive impairment
Altered connectivity within complex functional networks has been observed in individuals with post-stroke cognitive impair...
Altered effective connectivity of the default mode network in juvenile myoclonic epilepsy
Altered effective connectivity of the default mode network in juvenile myoclonic epilepsy
Juvenile myoclonic epilepsy (JME) is associated with brain dysconnectivity in the default mode network (DMN). Most previou...
ADHD/CD-NET: automated EEG-based characterization of ADHD and CD using explainable deep neural network technique
ADHD/CD-NET: automated EEG-based characterization of ADHD and CD using explainable deep neural network technique
In this study, attention deficit hyperactivity disorder (ADHD), a childhood neurodevelopmental disorder, is being studied ...
Global synchronization of functional corticomuscular coupling under precise grip tasks using multichannel EEG and EMG signals
Global synchronization of functional corticomuscular coupling under precise grip tasks using multichannel EEG and EMG signals
Functional corticomuscular coupling (FCMC), a phenomenon describing the information interaction between the cortex and mus...
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...