blob: a149cd6d48f3e5653f07fed35b60e0f24d71b36d (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
|
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.add_auxiliary_spikes(
spk.spike_train_from_string(line), 4000))
print(len(spike_trains))
m = spk.isi_distance_matrix(spike_trains)
plt.imshow(m, interpolation='none')
plt.show()
|
