spiketools.measures.spikes.compute_spike_presence¶

spiketools.measures.spikes.compute_spike_presence(spikes, bins, time_range=None)[source]¶

Compute the spike presence across time bins.

Parameters:

spikes1d array: Spike times, in seconds.
binsfloat or 1d array: The binning to apply to the spiking data. If float, the time length of each bin. If array, precomputed bin definitions.
time_rangelist of [float, float], optional: Time range, in seconds, to calculate the spike presence across. Only used if bins is a float.

Returns:

spike_presence1d array: Boolean array indicating spike presence across time bins.

Examples

Compute the spike presence from spike times:

>>> spikes = np.array([0.25, 1.15, 1.75, 2.25, 2.75, 4.5])
>>> compute_spike_presence(spikes, bins=1, time_range=[0, 5])
array([ True,  True,  True, False,  True])