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Article
Multiple-source distribution deep adaptive feature norm network for EEG emotion recognition
Electroencephalogram (EEG) emotion recognition plays an important role in human–computer interaction, and a higher recognition accuracy can improve the user experience. In recent years, domain adaptive methods...
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Article
Musical tension is affected by metrical structure dynamically and hierarchically
As the basis of musical emotions, dynamic tension experience is felt by listeners as music unfolds over time. The effects of musical harmonic and melodic structures on tension have been widely investigated, ho...
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Article
Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction
Memristive electromagnetic induction effect has been widely explored in bi-neuron network with homogeneous neurons, but rarely in bi-neuron network with heterogeneous ones. This paper builds a bi-neuron networ...
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Article
Repetitive transcranial magnetic stimulation enhances the neuronal excitability of mice by regulating dynamic characteristics of Granule cells’ Ion channels
This study aims to explore the effects of acute high-frequency repetitive transcranial magnetic stimulation (hf-rTMS) on neuronal excitability of granule cells in the hippocampal dentate gyrus, as well as the ...
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Article
Human factors engineering of BCI: an evaluation for satisfaction of BCI based on motor imagery
Existing brain-computer interface (BCI) research has made great progress in improving the accuracy and information transfer rate (ITR) of BCI systems. However, the practicability of BCI is still difficult to a...
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Article
Electromagnetic induction effects on electrical activity within a memristive Wilson neuron model
Neurons can exhibit abundant electrical activities due to physical effects of various electrophysiology environments. The electromagnetic induction flows can be triggered by changes in neuron membrane potentia...
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Article
Effects of chaotic activity and time delay on signal transmission in FitzHugh-Nagumo neuronal system
The influences of chaotic activity and time delay on the transmission of the sub-threshold signal (STS) in a single FitzHugh-Nagumo neuron and coupled neuronal networks are studied. It is found that a moderate...
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Article
Survey on granularity clustering
With the rapid development of uncertain artificial intelligent and the arrival of big data era, conventional clustering analysis and granular computing fail to satisfy the requirements of intelligent informati...
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Article
Responses of cutaneous mechanoreceptors within fingerpad to stimulus information for tactile softness sensation of materials
Softness sensation is one of primitive tactile textures. While the psychophysical characteristics of softness sensation have been thoroughly studied, it is lack of a deep understanding of the underlying neurom...
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Article
Neuromechanical representation of fabric-evoked prickliness: a fiber-skin-neuron model
Cutaneous Aδ nociceptors encode the material and geometrical features of fiber ends evoking prickliness sensation by generating neural spikes in response to indentation of human skin, however, understanding of...
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Chapter and Conference Paper
Relevant Stimuli Encoding Surface Structural Textures by Touching Plain Woven Fabric
In this paper, we investigate the relevant stimuli to SAI afferents encoding surface structural textures of plain woven fabric, via a FE model of fingertip and fabric in contact. By analogizing the neural resp...
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Chapter and Conference Paper
Two-Dimension Mass-Moment Control Based on the Fuzzy Neural Networks Variable Structure Control
A new model with variable structure method is proposed to diminish chattering and to achieve accurate tracking for a class of nonlinear systems in the presence of disturbances and parameter variations. Compare...