Analytical approach to an integrate-and-fire model with spike-triggered adaptation.
about
Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size.A Diffusion Approximation and Numerical Methods for Adaptive Neuron Models with Stochastic Inputs.Population density equations for stochastic processes with memory kernels.Evolution of moments and correlations in nonrenewal escape-time processes.Response to a periodic stimulus in a perfect integrate-and-fire neuron model driven by colored noise.Statistics of a leaky integrate-and-fire model of neurons driven by dichotomous noise.
P2860
Analytical approach to an integrate-and-fire model with spike-triggered adaptation.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
@zh
2015年學術文章
@zh-hant
name
Analytical approach to an integrate-and-fire model with spike-triggered adaptation.
@en
Analytical approach to an integrate-and-fire model with spike-triggered adaptation.
@nl
type
label
Analytical approach to an integrate-and-fire model with spike-triggered adaptation.
@en
Analytical approach to an integrate-and-fire model with spike-triggered adaptation.
@nl
prefLabel
Analytical approach to an integrate-and-fire model with spike-triggered adaptation.
@en
Analytical approach to an integrate-and-fire model with spike-triggered adaptation.
@nl
P2860
P1433
P1476
Analytical approach to an integrate-and-fire model with spike-triggered adaptation.
@en
P2093
Benjamin Lindner
Tilo Schwalger
P2860
P304
P356
10.1103/PHYSREVE.92.062703
P407
P577
2015-12-07T00:00:00Z