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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...
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...
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,...
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...
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...
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 ...
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...
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...
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 ...
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...
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...
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...
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...
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...
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...
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...
Enhancing in-situ updates of quantized memristor neural networks: a Siamese network learning approach
Enhancing in-situ updates of quantized memristor neural networks: a Siamese network learning approach
Brain-inspired neuromorphic computing has emerged as a promising solution to overcome the energy and speed limitations of ...
Energy and synchronization between two neurons with nonlinear coupling
Energy and synchronization between two neurons with nonlinear coupling
Consensus and synchronous firing in neural activities are relative to the physical properties of synaptic connections. For...
A linearized modeling framework for the frequency selectivity in neurons postsynaptic to vibration receptors
A linearized modeling framework for the frequency selectivity in neurons postsynaptic to vibration receptors
Vibration is an indispensable part of the tactile perception, which is encoded to oscillatory synaptic currents by recepto...
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 ...
A Basal Ganglia model for understanding working memory functions in healthy and Parkinson’s conditions
A Basal Ganglia model for understanding working memory functions in healthy and Parkinson’s conditions
Working memory (WM) is considered as the scratchpad for reading, writing, and processing information necessary to perform ...
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...