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authorMario Mulansky <mario.mulansky@gmx.net>2014-09-15 17:01:13 +0200
committerMario Mulansky <mario.mulansky@gmx.net>2014-09-15 17:01:13 +0200
commitf9529c78538882879a07cb67e342eade8d2153ab (patch)
tree33f54461ff5c37c57d6006117ff3a02f21624053 /examples/test_data.py
parente08c05f9bf121e272aadce4fc79e9499e662111e (diff)
isi distance and basic example
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+# compute the isi distance of some test data
+from __future__ import print_function
+
+import numpy as np
+import matplotlib.pyplot as plt
+
+import pyspike as spk
+
+# first load the data
+spike_trains = []
+spike_file = open("SPIKY_testdata.txt", 'r')
+for line in spike_file:
+ spike_trains.append(spk.spike_train_from_string(line))
+
+# plot the spike time
+for (i,spikes) in enumerate(spike_trains):
+ plt.plot(spikes, i*np.ones_like(spikes), 'o')
+
+f = spk.isi_distance(spike_trains[0], spike_trains[1], 4000)
+x, y = f.get_plottable_data()
+
+plt.figure()
+plt.plot(x, y, '-k')
+
+print("Average: %.8f" % f.avrg())
+print("Absolute average: %.8f" % f.abs_avrg())
+
+plt.show()