Advances in Cognitive Neurodynamics (VI)
Proceedings of the Sixth International Conference on Cognitive Neurodynamics – 2017
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45 Result(s)
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Chapter and Conference Paper
Functional Connectivity Analysis of Cognitive Reappraisal Using Sparse Spectral Clustering Method
Currently, human subjects performed a cognitive reappraisal of emotion task while being scanned with functional magnetic resonance imaging (fMRI). Both sparse spectral clustering and independent component anal...
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Chapter and Conference Paper
Estimating Information Transmission Time Between Prefrontal Cortex and Striatum by Transfer Entropy
Transmission timing is an important dynamic parameter to characterize two coupled systems between which information are exchanged. We used an information-theoretic approach known as transfer entropy to measure...
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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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Chapter and Conference Paper
A Comparison of Reward Values Encoding Function Between the Prefrontal Cortex and Striatum in Monkey
Reward prediction is essential for learning behavior and decision-making process in the brain. It is well known that neurons in both prefrontal cortex (PFC) and striatum are involved in encoding reward values....
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Book and Conference Proceedings
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Chapter and Conference Paper
Injection of Muscimol into Prefrontal Cortex Impairs Monkey’s Reward Transitive Inference
It is known that both the prefrontal cortex and striatum are involved in reward processing, but neurons in the two areas may utilize distinct strategies to predict reward. It was reported in a reward inference...
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Chapter and Conference Paper
Quantitative Analysis of Functional Connectivity Between Prefrontal Cortex and Striatum in Monkey
Reward prediction is essential for learning behavior and decision-making process in the brain. It is well known that the neurons in both prefrontal cortex (PFC) and striatum are involved in encoding reward inf...
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Article
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
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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Article
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
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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Chapter and Conference Paper
A Cortical Network Model for Visual Attention
It is known that visual attention can modulate firing patterns of neurons in visual cortexes and play important functional roles in visual information processes. Despite of several decades of studies, mechanis...
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Book and Conference Proceedings
Advances in Cognitive Neurodynamics (VII)
Proceedings of the Seventh International Conference on Cognitive Neurodynamics – 2019
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Article
Research progress of neurodynamics in China
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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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Article
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
RETRACTED ARTICLE: Edge intelligence-based public health influenza pandemic risk prediction
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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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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
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...
