1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66
|
""" profiles.py
Simple example showing some functionality of distance profiles.
Copyright 2015, Mario Mulansky <mario.mulansky@gmx.net>
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))
##### ISI PROFILES #######
# compute the ISI profile of the first two spike trains
f = spk.isi_profile(spike_trains[0], spike_trains[1])
# ISI values at certain points
t = 1200
print("ISI value at t =", t, ":", f(t))
t = [900, 1100, 2000, 3100]
print("ISI value at t =", t, ":", f(t))
print("Average ISI distance:", f.avrg())
print()
# compute the multivariate ISI profile
f = spk.isi_profile(spike_trains)
t = 1200
print("Multivariate ISI value at t =", t, ":", f(t))
t = [900, 1100, 2000, 3100]
print("Multivariate ISI value at t =", t, ":", f(t))
print("Average multivariate ISI distance:", f.avrg())
print()
print()
# for plotting, use the get_plottable_data() member function, see plot.py
##### SPIKE PROFILES #######
# compute the SPIKE profile of the first two spike trains
f = spk.spike_profile(spike_trains[0], spike_trains[1])
# SPIKE distance values at certain points
t = 1200
print("SPIKE value at t =", t, ":", f(t))
t = [900, 1100, 2000, 3100]
print("SPIKE value at t =", t, ":", f(t))
print("Average SPIKE distance:", f.avrg())
print()
# compute the multivariate SPIKE profile
f = spk.spike_profile(spike_trains)
# SPIKE values at certain points
t = 1200
print("Multivariate SPIKE value at t =", t, ":", f(t))
t = [900, 1100, 2000, 3100]
print("Multivariate SPIKE value at t =", t, ":", f(t))
print("Average multivariate SPIKE distance:", f.avrg())
|