biophysics_fitting ❭ ephys ❭ STEP_slow_ahp_time

STEP_slow_ahp_time

biophysics_fitting.ephys.STEP_slow_ahp_time(t, v, thresh=None, time_scale=5, start=1)

Calculates the time of the slow afterhyperpolarization (sAHP) of a voltage trace for a step stimulus.

The sAHP is computed as the time of the deepest point between timescale after the spike and the next spike.

Note

If two consecutive spikes are less than timescale apart, the sAHP is computed as the minimum between the first spike and the next spike, and there is no difference between fast and slow AHP.

Attention

It’s important to not return the average deviation from the mean sAHP time, but the full array of sAHP times. sAHP times can deviate both negatively and positively from the mean. Averaging this out will lead to a false sense of accuracy.

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.

  • time_scale (float, optional) – Time scale in milliseconds. Defaults to 5 ms.

  • start (int) – Index of the first AP to be considered. Defaults to 1: Omit the first AP with index 0.

Returns:

Array of sAHP times.

Return type:

np.ndarray