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authorMario Mulansky <mario.mulansky@gmx.net>2015-05-08 18:06:59 +0200
committerMario Mulansky <mario.mulansky@gmx.net>2015-05-08 18:06:59 +0200
commitf688dc2e8616f914040746de845646abb158125d (patch)
tree01229c5fc4a5eee546a365595388c5159a479375 /examples
parent619ffd7105203938a26075c79a77d63960da9922 (diff)
introduce backend for distance function
isi- and spike distances over complete intervals are now computed without obtaining the profile first. This gives more than x2 performance improvements.
Diffstat (limited to 'examples')
-rw-r--r--examples/performance.py8
1 files changed, 7 insertions, 1 deletions
diff --git a/examples/performance.py b/examples/performance.py
index 94dae25..1c31e8f 100644
--- a/examples/performance.py
+++ b/examples/performance.py
@@ -1,4 +1,10 @@
-""" Compute distances of large sets of spike trains for performance tests
+"""
+Compute distances of large sets of spike trains for performance tests
+
+Copyright 2015, Mario Mulansky <mario.mulansky@gmx.net>
+
+Distributed under the BSD License
+
"""
from __future__ import print_function