""" averages.py Simple example showing how to compute averages of distance profiles Copyright 2014, Mario Mulansky Distributed under the BSD License """ from __future__ import print_function import pyspike as spk spike_trains = spk.load_spike_trains_from_txt("PySpike_testdata.txt", edges=(0, 4000)) f = spk.isi_profile(spike_trains[0], spike_trains[1]) print("ISI-distance: %.8f" % f.avrg()) isi1 = f.avrg(interval=(0, 1000)) isi2 = f.avrg(interval=(1000, 2000)) isi3 = f.avrg(interval=[(0, 1000), (2000, 3000)]) isi4 = f.avrg(interval=[(1000, 2000), (3000, 4000)]) print("ISI-distance (0-1000): %.8f" % isi1) print("ISI-distance (1000-2000): %.8f" % isi2) print("ISI-distance (0-1000) and (2000-3000): %.8f" % isi3) print("ISI-distance (1000-2000) and (3000-4000): %.8f" % isi4) print() f = spk.spike_profile(spike_trains[0], spike_trains[1]) print("SPIKE-distance: %.8f" % f.avrg()) spike1 = f.avrg(interval=(0, 1000)) spike2 = f.avrg(interval=(1000, 2000)) spike3 = f.avrg(interval=[(0, 1000), (2000, 3000)]) spike4 = f.avrg(interval=[(1000, 2000), (3000, 4000)]) print("SPIKE-distance (0-1000): %.8f" % spike1) print("SPIKE-distance (1000-2000): %.8f" % spike2) print("SPIKE-distance (0-1000) and (2000-3000): %.8f" % spike3) print("SPIKE-distance (1000-2000) and (3000-4000): %.8f" % spike4) print() f = spk.spike_sync_profile(spike_trains[0], spike_trains[1]) print("SPIKE-Synchronization: %.8f" % f.avrg()) spike_sync1 = f.avrg(interval=(0, 1000)) spike_sync2 = f.avrg(interval=(1000, 2000)) spike_sync3 = f.avrg(interval=[(0, 1000), (2000, 3000)]) spike_sync4 = f.avrg(interval=[(1000, 2000), (3000, 4000)]) print("SPIKE-Sync (0-1000): %.8f" % spike_sync1) print("SPIKE-Sync (1000-2000): %.8f" % spike_sync2) print("SPIKE-Sync (0-1000) and (2000-3000): %.8f" % spike_sync3) print("SPIKE-Sync (1000-2000) and (3000-4000): %.8f" % spike_sync4)