The Spike-triggered average (STA) is a tool for characterizing the response properties of a neuron using the spikes emitted in response to a time-varying stimulus. The STA provides an estimate of a neuron's linear receptive field. It is a useful technique for the analysis of electrophysiological data. Mathematically, the STA is simply the average stimulus preceding a spike.

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  • The Spike-triggered average (STA) is a tool for characterizing the response properties of a neuron using the spikes emitted in response to a time-varying stimulus. The STA provides an estimate of a neuron's linear receptive field. It is a useful technique for the analysis of electrophysiological data. Mathematically, the STA is simply the average stimulus preceding a spike. To compute the STA, the stimulus in the time window preceding each spike is extracted, and the resulting (spike-triggered) stimuli are averaged (see diagram). The STA provides an unbiased estimate of a neuron's receptive field only if the stimulus distribution is spherically symmetric (e.g. , Gaussian white noise). The STA has been used to characterize retinal ganglion cells, neurons in the lateral geniculate nucleus and simple cells in the striate cortex (V1) . It can be used to estimate the linear stage of the linear-nonlinear-Poisson (LNP) cascade model . Spike-triggered averaging is also commonly referred to as “reverse correlation″ or “white-noise analysis”. The STA is well-known as the first term in the Volterra kernel or Wiener kernel series expansion.. It is closely related to linear regression.
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  • The Spike-triggered average (STA) is a tool for characterizing the response properties of a neuron using the spikes emitted in response to a time-varying stimulus. The STA provides an estimate of a neuron's linear receptive field. It is a useful technique for the analysis of electrophysiological data. Mathematically, the STA is simply the average stimulus preceding a spike.
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  • Spike-triggered average
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