blob: bf80553fac98e2a491a8bd7e797a7db19ed38fe4 (
plain)
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
|
# PySpike
PySpike is a Python library for numerical analysis of spike train similarity.
Its core functionality is the implementation of the bivariate [ISI and SPIKE distance](http://www.scholarpedia.org/article/Measures_of_spike_train_synchrony).
Additionally, it allows to compute multi-variate spike train distances, averaging and general spike train processing.
All source codes are published under the liberal [MIT License](http://opensource.org/licenses/MIT).
## Requirements and Installation
To use PySpike you need Python installed with the following additional packages:
- numpy
- scipy
- matplotlib
- cython
- nosetests (for running the tests)
In particular, make sure that [cython](http://www.cython.org) is configured properly and able to locate a C compiler.
To install PySpike, simply download the source, i.e. via git, and run the setup.py script:
git clone ...
cd PySpike
python setup.py build_ext --inplace
Then you can run the tests using the `nosetests` test framework:
cd test
nosetests
## Loading spike trains
## Computing bi-variate distances
## Computing multi-variate distances
## Plotting
## Averaging
|
