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A multidimensional adaptive transformer network for fatigue detection
A multidimensional adaptive transformer network for fatigue detection
Variations in information processing patterns induced by operational directives under varying fatigue conditions within th...
Neural dynamics of deception: insights from fMRI studies of brain states
Neural dynamics of deception: insights from fMRI studies of brain states
Deception is a complex behavior that requires greater cognitive effort than truth-telling, with brain states dynamically a...
Reciprocal causation relationship between rumination thinking and sleep quality: a resting-state fMRI study
Reciprocal causation relationship between rumination thinking and sleep quality: a resting-state fMRI study
Rumination thinking is a type of negative repetitive thinking, a tendency to constantly focus on the causes, consequences ...
Excitatory synaptic integration mechanism of three types of granule cells in the dentate gyrus
Excitatory synaptic integration mechanism of three types of granule cells in the dentate gyrus
Granule cells (GCs) are mainly responsible for receiving and integrating information from the entorhinal cortex and transf...
Pragmatic information of aesthetic appraisal
Pragmatic information of aesthetic appraisal
A phenomenological model for aesthetic appraisal is proposed in terms of pragmatic information for a dynamic update semant...
Regulatory mechanism of inhibitory interneurons with time-delay on epileptic seizures under sinusoidal sensory stimulation
Regulatory mechanism of inhibitory interneurons with time-delay on epileptic seizures under sinusoidal sensory stimulation
Epilepsy is a neurological disorder in which complex electrophysiological processes are closely linked to inherent nonline...
A stacking classifier for distinguishing stages of Alzheimer’s disease from a subnetwork perspective
A stacking classifier for distinguishing stages of Alzheimer’s disease from a subnetwork perspective
Accurately distinguishing stages of Alzheimer’s disease (AD) is crucial for diagnosis and treatment. In this paper, ...
Altered effective connectivity within brain lesioned regions and cognitive impairment after stroke
Altered effective connectivity within brain lesioned regions and cognitive impairment after stroke
Poststroke cognitive impairments (PSCI) reflect widespread network dysfunction due to structural damage, abnormal neural a...
Joint disentangled representation and domain adversarial training for EEG-based cross-session biometric recognition in single-task protocols
Joint disentangled representation and domain adversarial training for EEG-based cross-session biometric recognition in single-task protocols
The increasing adoption of wearable technologies highlights the potential of electroencephalogram (EEG) signals for biomet...
Emotion analysis of EEG signals using proximity-conserving auto-encoder (PCAE) and ensemble techniques
Emotion analysis of EEG signals using proximity-conserving auto-encoder (PCAE) and ensemble techniques
Emotion recognition plays a crucial role in brain-computer interfaces (BCI) which helps to identify and classify human emo...
Unraveling the functional complexity of the locus coeruleus-norepinephrine system: insights from molecular anatomy to neurodynamic modeling
Unraveling the functional complexity of the locus coeruleus-norepinephrine system: insights from molecular anatomy to neurodynamic modeling
The locus coeruleus (LC), as the primary source of norepinephrine (NE) in the brain, is central to modulating cognitive an...
Monitoring nap deprivation-induced fatigue using fNIRS and deep learning
Monitoring nap deprivation-induced fatigue using fNIRS and deep learning
Fatigue-induced incidents in transportation, aerospace, military, and other areas have been on the rise, posing a threat t...
Effects of transcutaneous auricular vagus nerve stimulation (taVNS) on motor planning: a multimodal signal study
Effects of transcutaneous auricular vagus nerve stimulation (taVNS) on motor planning: a multimodal signal study
Motor planning plays a pivotal role in daily life. Transcutaneous auricular vagus nerve stimulation (taVNS) has been demon...
Neuroenhancement by repetitive transcranial magnetic stimulation (rTMS) on DLPFC in healthy adults
Neuroenhancement by repetitive transcranial magnetic stimulation (rTMS) on DLPFC in healthy adults
The term "neuroenhancement" describes the enhancement of cognitive function associated with deficiencies resulti...
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...
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...
Multi-view domain adaption based multi-scale convolutional conditional invertible discriminator for cross-subject electroencephalogram emotion recognition
Multi-view domain adaption based multi-scale convolutional conditional invertible discriminator for cross-subject electroencephalogram emotion recognition
Cross subject Electroencephalogram (EEG) emotion recognition refers to the process of utilizing electroencephalogram signa...
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...
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...
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...
Cross-session SSVEP brainprint recognition using attentive multi-sub-band depth identity embedding learning network
Cross-session SSVEP brainprint recognition using attentive multi-sub-band depth identity embedding learning network
Brainprint recognition technology, regarded as a promising biometric technology, encounters challenges stemming from the t...
Implementation of memristive emotion associative learning circuit
Implementation of memristive emotion associative learning circuit
Psychological studies have demonstrated that the music can affect memory by triggering different emotions. Building on the...
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...
The length and the width of the human brain circuit connections are strongly correlated
The length and the width of the human brain circuit connections are strongly correlated
The correlations of several fundamental properties of human brain connections are investigated in a consensus connectome, ...
The phonation test can distinguish the patient with Parkinson’s disease via Bayes inference
The phonation test can distinguish the patient with Parkinson’s disease via Bayes inference
Parkinson's disease (PD) is a neurodegenerative disease with various clinical manifestations caused by multiple risk f...
Sg-snn: a self-organizing spiking neural network based on temporal information
Sg-snn: a self-organizing spiking neural network based on temporal information
Neurodynamic observations indicate that the cerebral cortex evolved by self-organizing into functional networks, These net...
Cross-subject mental workload recognition using bi-classifier domain adversarial learning
Cross-subject mental workload recognition using bi-classifier domain adversarial learning
To deploy Electroencephalogram (EEG) based Mental Workload Recognition (MWR) systems in the real world, it is crucial to d...
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