Firing rate of the noisy quadratic integrate-and-fire neuron

被引:104
作者
Brunel, N [1 ]
Latham, PE
机构
[1] Univ Paris 05, NPSM, CNRS, F-75270 Paris 06, France
[2] Univ Calif Los Angeles, Dept Neurobiol, Los Angeles, CA 90095 USA
关键词
D O I
10.1162/089976603322362365
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We calculate the firing rate of the quadratic integrate-and-fire neuron in response to a colored noise input current. Such an input current is a good approximation to the noise due to the random bombardment of spikes, with the correlation time of the noise corresponding to the decay time of the synapses. The key parameter that determines the firing rate is the ratio of the correlation time of the colored noise, tau(s), to the neuronal time constant, tau(m). We calculate the firing rate exactly in two limits: when the ratio, goes to zero (white noise) and when it goes to infinity. The correction to the short correlation time limit is O(tau(s)/tau(m)), which is qualitatively different from that of the leaky integrate-and-fire neuron, where the correction is O(roottau(s)/tau(m)). The difference is due to the different boundary conditions of the probability density function of the membrane potential of the neuron at firing threshold. The correction to the long correlation time limit is O(tau(m)/tau(s)). By combining the short and long correlation time limits, we derive an expression that provides a good approximation to the firing rate over the whole range of tau(s)/tau(m) in the suprathreshold regime-that is, in a regime in which the average current is sufficient to make the cell fire. In the subthreshold regime, the expression breaks down somewhat when tau(s) becomes large compared to tau(m).
引用
收藏
页码:2281 / 2306
页数:26
相关论文
共 35 条
[11]   RELAXATION FROM A MARGINAL STATE IN OPTICAL BISTABILITY [J].
COLET, P ;
SANMIGUEL, M ;
CASADEMUNT, J ;
SANCHO, JM .
PHYSICAL REVIEW A, 1989, 39 (01) :149-156
[12]   Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo [J].
Destexhe, A ;
Paré, D .
JOURNAL OF NEUROPHYSIOLOGY, 1999, 81 (04) :1531-1547
[13]   Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons [J].
Destexhe, A ;
Rudolph, M ;
Fellous, JM ;
Sejnowski, TJ .
NEUROSCIENCE, 2001, 107 (01) :13-24
[14]  
Ermentrout G. B., 1996, NEURAL COMPUT, V8, P979, DOI DOI 10.1162/NECO.1996.8.5.979
[15]   PARABOLIC BURSTING IN AN EXCITABLE SYSTEM COUPLED WITH A SLOW OSCILLATION [J].
ERMENTROUT, GB ;
KOPELL, N .
SIAM JOURNAL ON APPLIED MATHEMATICS, 1986, 46 (02) :233-253
[16]   Dynamics of the firing probability of noisy integrate-and-fire neurons [J].
Fourcaud, N ;
Brunel, N .
NEURAL COMPUTATION, 2002, 14 (09) :2057-2110
[17]   Dynamics of membrane excitability determine interspike interval variability: A link between spike generation mechanisms and cortical spike train statistics [J].
Gutkin, BS ;
Ermentrout, GB .
NEURAL COMPUTATION, 1998, 10 (05) :1047-1065
[18]   Asynchronous states and the emergence of synchrony in large networks of interacting excitatory and inhibitory neurons [J].
Hansel, D ;
Mato, G .
NEURAL COMPUTATION, 2003, 15 (01) :1-56
[19]   Existence and stability of persistent states in large neuronal networks [J].
Hansel, D ;
Mato, G .
PHYSICAL REVIEW LETTERS, 2001, 86 (18) :4175-4178
[20]   The approach of a neuron population firing rate to a new equilibrium: An exact theoretical result [J].
Knight, BW ;
Omurtag, A ;
Sirovich, L .
NEURAL COMPUTATION, 2000, 12 (05) :1045-1055