spiketools.measures.conversions.convert_times_to_train

spiketools.measures.conversions.convert_times_to_train(spikes, fs=1000, time_range=None)

Convert spike times into a binary spike train.

Parameters:

spikes1d array

Spike times, in seconds.

fsint, optional, default: 1000

The sampling rate to use for the computed spike train, in Hz.

time_rangelist of [float, float], optional

Expected time range of the spikes, used to infer the length of the output spike train. If not provided, the length is set as the observed time range of ‘spikes’.

Returns:

spike_train1d array

Spike train.

Examples

Convert spike times into a corresponding binary spike train:

>>> spikes = np.array([0.002, 0.250, 0.500, 0.750, 1.000, 1.250, 1.500, 2.000])
>>> convert_times_to_train(spikes)
array([0, 0, 1, ..., 0, 0, 1])