1) spiking neuron model
脉冲神经元模型
1.
and Magee JC\'s electrophysiology experiments,a biology plausible spiking neuron model for theta phase precession was proposed.
并且以整合与发放的脉冲神经元模型取代H-H模型,大大简化了计算量。
3) impulse response neuron
脉冲响应神经元
1.
To solve the deficiency of time-lag effect and time cumulative effect in traditional artificial neural networks during dealing with input and output,the unit impulse response function of system theory is brought into neural network model,and a new type of neuron model named impulse response neuron is established.
为解决传统人工神经网络在处理输入与输出时具有时滞效应和时间累积效应等的不足,将系统理论中单位脉冲响应函数融入到神经网络模型,构建了一种新的神经元模型——脉冲响应神经元。
5) neuron model
神经元模型
1.
In this paper,the responses of FitzHugh-Nagumo(FN) neuron model,which is stimulated by additive Gaussian white noise and weak sinusoidal signal,is investigated via numerical simulations.
8时模型的输出信噪比最大,表明该神经元模型有频率敏感性,即更易于检测到该范围内的弱信号。
2.
A new neuron model named RNS neuron is proposed, in which all data and weights are represented by residues.
提出了一种新的神经元模型，其数据和权值用余数制表示，称之为余数制神经元。
6) neural model
神经元模型
1.
Multilayer feedforward neural networkswith multioutput neural model and its application;
多输出神经元模型的多层前向神经网络及其应用
补充资料：脉冲
1.指电流或电压短暂的起伏变化。各种高频脉冲广泛用在无线电技术中。 2.指变化规律类似电脉冲的现象。如脉冲激光器。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条