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Emerging roles of astrocyte for treatment of focal epilepsy and mechanisms underlying lesion development
Emerging roles of astrocyte for treatment of focal epilepsy and mechanisms underlying lesion development
This study aims to elucidate astrocyte-mediated regulation of focal epileptic seizures and mechanisms underlying the devel...
Dynamics and energy encoding of a star-like neuron network composed of the Wang-Zhang model induced by compressing a sphere into a fingertip
Dynamics and energy encoding of a star-like neuron network composed of the Wang-Zhang model induced by compressing a sphere into a fingertip
The information transmission of the tactile system is closely related to neuron network dynamics and energy metabolism. Ho...
Coexistence of infinitely many attractors in cosine-type memristor-driven hopfield neural networks and its application to image encryption
Coexistence of infinitely many attractors in cosine-type memristor-driven hopfield neural networks and its application to image encryption
This paper designs two improved passive cosine-type ideal memristors and incorporates them into the Hopfield neural networ...
Bmssnet: a multi-scale feature and efficient spatial attention fusion model for early recognition of Alzheimer’s disease
Bmssnet: a multi-scale feature and efficient spatial attention fusion model for early recognition of Alzheimer’s disease
Integrating structural magnetic resonance imaging (sMRI) with deep learning techniques is one of the important research di...
Modeling spectral EEG interactions using graph-structured variational representation learning
Modeling spectral EEG interactions using graph-structured variational representation learning
Emotion recognition from electroencephalogram (EEG) signals remains a challenging problem due to the high dimensionality, ...
A new BCI paradigm based on biological brain – digital twin brain dialogue
A new BCI paradigm based on biological brain – digital twin brain dialogue
Brain-computer interface (BCI) establishes a bidirectional pathway between the brain and external devices. Its application...
Ethical risks and considerations of brain-controlled and neuromodulation technologies
Ethical risks and considerations of brain-controlled and neuromodulation technologies
Brain-controlled technology (BCT), centered on brain-computer interfaces (BCI), acquires and decodes neural signals to con...
EEG-based brain functional connectivity dynamics in manual and video-based car-following observation among young drivers
EEG-based brain functional connectivity dynamics in manual and video-based car-following observation among young drivers
Understanding the neurophysiological mechanisms underlying driving behavior in young drivers is essential for improving co...
Stochastic neural dynamic modeling and analysis under environmental noise for exploring the production of K-complexes
Stochastic neural dynamic modeling and analysis under environmental noise for exploring the production of K-complexes
K-complexes (KCs), sleep-specific neuroprotective waveforms, demonstrate significant modulation by environmental noise (EN...
JDA-RSDB: a multimodal domain adaptation method for cross-session emotion recognition from EEG and eye movement signals
JDA-RSDB: a multimodal domain adaptation method for cross-session emotion recognition from EEG and eye movement signals
Multimodal emotion recognition has shown growing interest in affective computing, as combining Electroencephalogram (EEG) ...
A dual-state generic memristor–neuron coupled system for pain modulation and chaotic dynamics research
A dual-state generic memristor–neuron coupled system for pain modulation and chaotic dynamics research
The nonlinear dynamics of neuronal firing play a key role in understanding modulation mechanisms in excitable systems. In ...
Ensemble of transformers for depression emotion classification
Ensemble of transformers for depression emotion classification
People act on their emotions even in the most rational decision-making mechanisms in their lives. Emotions are powerful mo...
Domain generalized feature embedded learning for calibration-free event-related potentials recognition
Domain generalized feature embedded learning for calibration-free event-related potentials recognition
Event-related potentials (ERPs) play an important role for building EEG-based brain computer interfaces (BCIs). However, d...
Ternary quantitative neural network implemented with tri-valued memristors
Ternary quantitative neural network implemented with tri-valued memristors
As a nano-scale, non-volatile device compatible with CMOS technologies, the memristor is well suited for in-memory computi...
Glutamate receptors as regulators of synaptic plasticity in neuropsychiatric disorders: pathological insight and translational perspectives
Glutamate receptors as regulators of synaptic plasticity in neuropsychiatric disorders: pathological insight and translational perspectives
Glutamate receptors (GluRs) are central regulators of synaptic plasticity, a fundamental physiological process underlying ...
Thermodynamic neural networks and intersection theory: an ontological hypothesis of emergent intelligence
Thermodynamic neural networks and intersection theory: an ontological hypothesis of emergent intelligence
This article proposes a new ontological framework for describing cognitive processes, grounded in intersection theory and ...
A MBPAF-memristive Hopfield neural network and its application in image encryption
A MBPAF-memristive Hopfield neural network and its application in image encryption
The complexity of neural dynamics heavily depends on the nonlinear activation functions, and a mixed-bipower activation fu...
Dynamical analysis of a mean firing rate model in Parkinson’s disease
Dynamical analysis of a mean firing rate model in Parkinson’s disease
The generation of pathological oscillations in Parkinson’s disease(PD) is closely linked to the synchronous evolutio...
Classification of consciousness disorders based on graph convolution and attention mechanism
Classification of consciousness disorders based on graph convolution and attention mechanism
This study develops an interpretable, task-adaptive EEG diagnostic framework to overcome the subjectivity and time burden ...
Exploring electromagnetic induction and astrocyte influence in excitatory-inhibitory coupling neuron network
Exploring electromagnetic induction and astrocyte influence in excitatory-inhibitory coupling neuron network
This study investigates how electromagnetic induction and astrocytic modulation jointly influence firing dynamics and sync...
Mechanisms underlying EEG power changes during wakefulness in insomnia patients: a model-driven study
Mechanisms underlying EEG power changes during wakefulness in insomnia patients: a model-driven study
Insomnia, as a common sleep disorder, is the most common complaints in medical practice affecting a large proportion of th...
Formation of cognitive maps in large-scale environments by sensorimotor integration
Formation of cognitive maps in large-scale environments by sensorimotor integration
Hippocampus in the mammalian brain supports navigation by building a cognitive map of the environment. However, only a few...
Optimal time-frequency localized wavelet filters for identification of Alzheimer’s disease from EEG signals
Optimal time-frequency localized wavelet filters for identification of Alzheimer’s disease from EEG signals
Alzheimer’s disease (AD) is a chronic disability that occurs due to the loss of neurons. The traditional methods to ...
Visual image reconstructed without semantics from human brain activity using linear image decoders and nonlinear noise suppression
Visual image reconstructed without semantics from human brain activity using linear image decoders and nonlinear noise suppression
In recent years, substantial strides have been made in the field of visual image reconstruction, particularly in its capac...
A novel adaptive lightweight multimodal efficient feature inference network ALME-FIN for EEG emotion recognition
A novel adaptive lightweight multimodal efficient feature inference network ALME-FIN for EEG emotion recognition
Enhancing the accuracy of emotion recognition models through multimodal learning is a common approach. However, challenges...
A fuzzy based computational model to analyze the influence of mitochondria, buffer, and ER fluxes on cytosolic calcium distribution in neuron cells
A fuzzy based computational model to analyze the influence of mitochondria, buffer, and ER fluxes on cytosolic calcium distribution in neuron cells
A free calcium ion in the cytosol is essential for many physiological and physical functions. Also, it is known as a secon...
3T dilated inception network for enhanced autism spectrum disorder diagnosis using resting-state fMRI data
3T dilated inception network for enhanced autism spectrum disorder diagnosis using resting-state fMRI data
Autism spectrum disorder (ASD) is one of the complicated neurodevelopmental disorders that impacts the daily functioning a...
Cross-patient seizure prediction via continuous domain adaptation and similar sample replay
Cross-patient seizure prediction via continuous domain adaptation and similar sample replay
Seizure prediction based on electroencephalogram (EEG) for people with epilepsy, a common brain disorder worldwide, has gr...
The role of beta band phase resetting in audio-visual temporal order judgment
The role of beta band phase resetting in audio-visual temporal order judgment
The integration of auditory and visual stimuli is essential for effective language processing and social perception. The p...
An effective encryption approach using a combination of a non-chain ring and a four-dimensional chaotic map
An effective encryption approach using a combination of a non-chain ring and a four-dimensional chaotic map
Algebraic structures are highly effective in designing symmetric key cryptosystems; however, if the key space is not suffi...
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