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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...
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...
Individuals with high autistic traits exhibit altered interhemispheric brain functional connectivity patterns
Individuals with high autistic traits exhibit altered interhemispheric brain functional connectivity patterns
Individuals with high autistic traits (AT) encounter challenges in social interaction, similar to autistic persons. Precis...
Cognitive neurodynamic approaches to adaptive signal processing in wireless sensor networks
Cognitive neurodynamic approaches to adaptive signal processing in wireless sensor networks
In recent years, Wireless Sensor Networks (WSN) have become vital because of their versatility in numerous applications. N...
Regulation of dentate gyrus pattern separation by hilus ectopic granule cells
Regulation of dentate gyrus pattern separation by hilus ectopic granule cells
The dentate gyrus (DG) in hippocampus is reported to perform pattern separation, converting similar inputs into different ...
Reconstruction and application of multilayer brain network for juvenile myoclonic epilepsy based on link prediction
Reconstruction and application of multilayer brain network for juvenile myoclonic epilepsy based on link prediction
Juvenile myoclonic epilepsy (JME) exhibits abnormal functional connectivity of brain networks at multiple frequencies. We ...
Aberrant regional neural fluctuations and functional connectivity in insomnia comorbid depression revealed by resting-state functional magnetic resonance imaging
Aberrant regional neural fluctuations and functional connectivity in insomnia comorbid depression revealed by resting-state functional magnetic resonance imaging
Insomnia is a common mental illness seriously affecting people lives, that might progress to major depression. However, th...
EEG-based cross-subject passive music pitch perception using deep learning models
EEG-based cross-subject passive music pitch perception using deep learning models
Pitch plays an essential role in music perception and forms the fundamental component of melodic interpretation. However, ...
Multi-level cognitive state classification of learners using complex brain networks and interpretable machine learning
Multi-level cognitive state classification of learners using complex brain networks and interpretable machine learning
Identifying the cognitive state can help educators understand the evolving thought processes of learners, and it is import...
Metacognition of one’s strategic planning in decision-making: the contribution of EEG correlates and individual differences
Metacognition of one’s strategic planning in decision-making: the contribution of EEG correlates and individual differences
The metacognition of one’s planning strategy constitutes a “second-level” of metacognition that goes bey...
Beta-band oscillations and spike-local field potential synchronization in the motor cortex are correlated with movement deficits in an exercise-induced fatigue mouse model
Beta-band oscillations and spike-local field potential synchronization in the motor cortex are correlated with movement deficits in an exercise-induced fatigue mouse model
Fatigue, a complex and multifaceted symptom, profoundly influences quality of life, particularly among individuals sufferi...
Neural oscillations predict flow experience
Neural oscillations predict flow experience
Flow experience, characterized by immersion in the activity at hand, provides a motivational boost and promotes positive b...
Alterations of synaptic plasticity and brain oscillation are associated with autophagy induced synaptic pruning during adolescence
Alterations of synaptic plasticity and brain oscillation are associated with autophagy induced synaptic pruning during adolescence
Adolescent brain development is characterized by significant anatomical and physiological alterations, but little is known...
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...
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