总而言之,LIF模型是一种建模神经元spike的比较简单基本的模型,忽略了动作电位自身的快速特性:基本只考虑了细胞的被动特性,以及动作电位threshold的特性和refreactory period的特性。但是他可以很好的展示一些神经元动作电位序列的一些特征:比如CV,对噪声的影响之类。 我不会讲HH模型的具体内容,这个很多人说。下一篇文章...
The leaky integrate-and-fire (LIF) model is one of the elementary neuronal models that has been widely used to gain understanding of the behavior of many excitable systems. The sinusoidally forced standard leaky integrate-and-fire model reproduces the quasiperiodic and phase locked discharge trains...
3. Lapicque的LIF神经元模型 神经膜和RC电路之间的这种相似性是由Louis Lapicque在1907年观察到的。他用一个短暂的电脉冲刺激青蛙的神经纤维,发现神经元膜可以近似为一个有泄漏的电容器。我们通过以他的名字命名snnTorch中的基本LIF神经元模型来向他的发现表示敬意。 Lapicque模型中的大多数概念可以推广到其他LIF神经...
We observe, also in agreement with the LIF model8, that as the incoming input spikes become more intense, the frequency of the outgoing spikes increases. This feature corresponds to the so called frequency or rate coding of neurons10. To demonstrate the ease of control and tunability of the ...
Leaky integrate and fire (LIF) model represents neuron as a parallel combination of a “leaky” resistor (conductance, g L ) and a capacitor (C) as shown in Fig. 2(a). A current source I(t) is used as synaptic current input to charge up the capacitor to produce a potential V(t)...
An advantage of this approach is that if the transition density of the diffusion in the LIF model is known, as is the case for the Ornstein–Uhlenbeck and the Feller model, the computational burden is limited. A second approach involves numerical solution of the Fokker–Planck equation, where...
model parameters. Many electrophysiological experiments on neurons, namely extra-cellular recordings, are only capable of detecting the time of the spike and not the detailed voltage trajectory leading up to the spike. Estimating the parameters of the LIF model from this type of data is equivalent ...
model parameters. Many electrophysiological experiments on neurons, namely extra-cellular recordings, are only capable of detecting the time of the spike and not the detailed voltage trajectory leading up to the spike. Estimating the parameters of the LIF model from this type of data is equivalent ...
model parameters. Many electrophysiological experiments on neurons, namely extra-cellular recordings, are only capable of detecting the time of the spike and not the detailed voltage trajectory leading up to the spike. Estimating the parameters of the LIF model from this type of data is equivalent ...
However, the commonly used Leaky Integrate-and-Fire (LIF) model overlooks neuron heterogeneity and independently processes spatial and temporal information, limiting the expressive power of SNNs. In this paper, we propose the Dual Adaptive Leaky Integrate-and-Fire (DA-LIF) model, which introduces ...