dengbin@tju.edu.cn
天津大学北洋青年****
教授
军工

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基于放电历史依存性的神经针刺编码机

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基于生物灵感的FPGA类脑运动核团实现研究

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针刺神经多时标复用编码机制研究

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外电场作用下多细胞水平神经元建模与分析
一种检测阿尔兹海 默症的脑电信号复杂度异常的方法

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帕金森病基底核-丘脑网络的深度脑刺激FPGA实验平台

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智能针刺神经元网络实验平台
一种检测阿尔兹海默症的脑电信号复杂度异常的方法

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本发明提供一种帕金森病基底核-丘脑网络的深度脑刺激FPGA实验平台，该实验平台包括有相互连接的FPGA开发板和上位机，其中FPGA开发板用来实现基底核-丘脑神经元网络模型和深度脑刺激控制器，上位机用来设计上位机软件界面并与FPGA开发板进行通讯。

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Weak signal detection and propagation in diluted feed-forward neural network with recurrent excitation and inhibition

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帕金森状态的慢变量反馈模糊控制

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Dependence of inter-neuronal effective connectivity on synchrony dynamics in neuronal network motifs

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Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis

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Complexity extraction of electroencephalograms in Alzheimer's disease with weighted-permutation entropy

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Fractal characterization of acupuncture-induced spike trains of rat WDR neurons

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Power spectral density and coherence analysis of Alzheimer’s EEG

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Adaptive Control of Parkinson's State Based on a Nonlinear Computational Model with Unknown Parameters

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Endogenous fields enhanced stochastic resonance in a randomly coupled neuronal network

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Spike initiating dynamics of the neuron with different adaptation mechanisms to extracellular electric fields

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WLPVG approach to the analysis of EEG-based functional brain network under manual acupuncture

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Vibrational resonance in neuron populations with hybrid synapses

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Theoretical analysis of vibrational resonance in a neuron model near a bifurcation point

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A combined method to estimate parameters of neuron from a heavily noise-corrupted time series of active potential

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Variable universe fuzzy closed-loop control of tremor predominant Parkinsonian state based on parameter estimation

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Effect of chemical synapse on vibrational resonance in coupled neurons

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Vibrational resonance in neuron populations

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A combined method to estimate parameters of the thalamocortical model from a heavily noise-corrupted time series of action

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Decreased coherence and functional connectivity of electroencephalograph in Alzheimer's disease

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UKF-based closed loop iterative learning control of epileptiform wave in a neural mass model