spiketools.measures.trials.compute_pre_post_averages

spiketools.measures.trials.compute_pre_post_averages(frs_pre, frs_post, avg_type='mean')

Compute the average firing rate across pre & post event windows.

Parameters:

frs_pre, frs_post1d array

Firing rates across pre & post event windows.

avg_type{‘mean’, ‘median’}

The type of averaging function to use.

Returns:

avg_pre, avg_postfloat

The average firing rates for the pre & post event windows.

Examples

Compute the average pre & post event firing rates:

>>> frs_pre = np.array([5, 3, 1])
>>> frs_post = np.array([12, 8, 10])
>>> compute_pre_post_averages(frs_pre, frs_post, avg_type='mean')
(3.0, 10.0)