biophysics_fitting ❭ ephys ❭ STEP_coef_var

STEP_coef_var

biophysics_fitting.ephys.STEP_coef_var(t, v, stim_end, thresh=None)

Computes the coefficient of variation (CV) of the Inter-Spike Interval (ISI) of a voltage trace for a step stimulus.

The CV is calculated as:

\[\frac{\sigma\_{ISI}}{\mu\_{ISI}}\]

Note

We are considering a population sample, not a distribution variance. We must Bessel-correct the standard deviation. In this case, the standard deviation is calculated with 1 degree of freedom i.e. a denominator of \(N-1\) instead of \(N\).

Parameters:

  • t (numpy.ndarray) – Array of time values.

  • v (numpy.ndarray) – Array of voltage values.

  • thresh (float, optional) – Voltage threshold for spike detection. Defaults to None.

Returns:

Coefficient of variation of the ISI.

Return type:

float