Reliability of spike timing is a general property of spiking model neurons
Reliability of spike timing is a general property of spiking model neurons
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DOI：
10.1162/089976603762552924
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发表时间：
2003-02-01
影响因子：
2.9
通讯作者：
Guigon, E
中科院分区：
文献类型：
--
作者：
Brette, R;Guigon, E
神经元对时变注射电流的反应在体外试验的基础上是可重复的，但是当注射恒定电流时，试验之间的小差异加起来，最终导致峰值时间的大差异。目前尚不清楚这种差异是由于输入电流的性质还是神经元的内在特性造成的。神经元的反应在两种情况下无法重现：动态噪声可能随着时间的推移而累积，导致试验过程中的不同步；或者根据初始条件，可能存在几个稳定的反应。在这里，我们通过模拟和理论考虑表明，对于一般类型的尖峰神经元模型，特别是包括泄漏积分-点火模型以及非线性尖峰模型，与周期电流相反，非周期电流诱导可重复的响应，这些响应在噪声，初始条件变化和输入的确定性扰动下稳定。我们提供了一个理论解释非周期电流越过阈值。
The responses of neurons to time-varying injected currents are reproducible on a trial-by-trial basis in vitro, but when a constant current is injected, small variances in interspike intervals across trials add up, eventually leading to a high variance in spike timing. It is unclear whether this difference is due to the nature of the input currents or the intrinsic properties of the neurons. Neuron responses can fail to be reproducible in two ways: dynamical noise can accumulate over time and lead to a desynchronization over trials, or several stable responses can exist, depending on the initial condition. Here we show, through simulations and theoretical considerations, that for a general class of spiking neuron models, which includes, in particular, the leaky integrate-and-fire model as well as nonlinear spiking models, aperiodic currents, contrary to periodic currents, induce reproducible responses, which are stable under noise, change in initial conditions and deterministic perturbations of the input. We provide a theoretical explanation for aperiodic currents that cross the threshold.