25 Result(s)
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Article
A working memory model based on recurrent neural networks using reinforcement learning
Numerous electrophysiological experiments have reported that the prefrontal cortex (PFC) is involved in the process of working memory. PFC neurons continue firing to maintain stimulus information in the delay ...
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Open AccessTemporal-spatial deciphering mental subtraction in the human brain
Mental subtraction, involving numerical processing and operation, requires a complex interplay among several brain regions. Diverse studies have utilized scalp electroencephalograph, electrocorticogram, or fun...
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Machine to brain: facial expression recognition using brain machine generative adversarial networks
The human brain can effectively perform Facial Expression Recognition (FER) with a few samples by utilizing its cognitive ability. However, unlike the human brain, even the well-trained deep neural network is ...
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Article
Short-length SSVEP data extension by a novel generative adversarial networks based framework
Steady-state visual evoked potentials (SSVEPs) based brain–computer interface (BCI) has received considerable attention due to its high information transfer rate (ITR) and available quantity of targets. Howeve...
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Article
The role of extracellular glutamate homeostasis dysregulated by astrocyte in epileptic discharges: a model evidence
Glutamate (Glu) is a predominant excitatory neurotransmitter that acts on glutamate receptors to transfer signals in the central nervous system. Abnormally elevated extracellular glutamate levels is closely re...
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Article
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 insufficient description of feature information, which seriously hinder the development and a...
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Article
The decoder design and performance comparative analysis for closed-loop brain–machine interface system
Brain–machine interface (BMI) can convert electroencephalography signals (EEGs) into the control instructions of external devices, and the key of control performance is the accuracy and efficiency of decoder. ...
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Article
Spike-spindle coupling during sleep and its mechanism explanation in childhood focal epilepsy
Childhood focal epilepsy (CFE) is a serious neurological disorder characterized by epileptic seizures arising from a focal or multi-focal zone of the brain in clinics. During non-rapid eye movement (NREM) slee...
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RETRACTED ARTICLE: Edge intelligence-based public health influenza pandemic risk prediction
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The LightGBM-based classification algorithm for Chinese characters speech imagery BCI system
Brain–computer interface (BCI) can obtain text information by decoding language induced electroencephalogram (EEG) signals, so as to restore communication ability for patients with language impairment. At pres...
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Article
Open AccessBiophysical mechanism of the interaction between default mode network and working memory network
Default mode network (DMN) is a functional brain network with a unique neural activity pattern that shows high activity in resting states but low activity in task states. This unique pattern has been proved to...
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Research progress of neurodynamics in China
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Article
An adaptive decoder design based on the receding horizon optimization in BMI system
In a motor brain-machine interface system, since the electroencephalogram signal is changing through out the process of the arm movement, the offline trained decoder with fixed weights is often unable to conve...
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A cortical model with multi-layers to study visual attentional modulation of neurons at the synaptic level
Visual attention is a selective process of visual information and improves perceptual performance by modulating activities of neurons in the visual system. It has been reported that attention increased firing ...
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Article
Open AccessEnergy expenditure computation of a single bursting neuron
Brief bursts of high-frequency spikes are a common firing pattern of neurons. The cellular mechanisms of bursting and its biological significance remain a matter of debate. Focusing on the energy aspect, this ...
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Controlling mechanism of absence seizures by deep brain stimulus applied on subthalamic nucleus
Based on a classical model of the basal ganglia thalamocortical network, in this paper, we employed a type of the deep brain stimulus voltage on the subthalamic nucleus to study the control mechanism of absenc...
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Article
Functional connectivity between prefrontal cortex and striatum estimated by phase locking value
The interplay between the prefrontal cortex (PFC) and striatum has an important role in cognitive processes. To investigate interactive functions between the two areas in reward processing, we recorded local f...
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EEG oscillations reflect task effects for the change detection in vocal emotion
How task focus affects recognition of change in vocal emotion remains in debate. In this study, we investigated the role of task focus for change detection in emotional prosody by measuring changes in event-re...
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Visual pattern discrimination by population retinal ganglion cells’ activities during natural movie stimulation
In the visual system, neurons often fire in synchrony, and it is believed that synchronous activities of group neurons are more efficient than single cell response in transmitting neural signals to down-stream...
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Article
A comparison study of two P300 speller paradigms for brain–computer interface
In this paper, a comparison of two existing P300 spellers is conducted. In the first speller, the visual stimuli of characters are presented in a single character (SC) paradigm and each button corresponding to...
