| overlap.pdf | (84968 kb) | overlap-based support result diagrams |
| ovlexp.zip | (49 kb) | scripts and other source files |
| ovlexp.tar.gz | (43 kb) |
The document overlap.pdf contains the result diagrams
for a large set of experiments with a version of CoCoNAD
(Continuous-time Closed Neuron Assembly Detection) that uses an
influence region overlap based support to find inexactly synchronous
spiking events in parallel neural spike trains. In this way both the
number of coincident spiking events as well as the precision of
synchrony in the individual events can be taken into account.
Details can be found in the paper
[Ezennaya-Gomez
and Borgelt 2015].
The archives ovlexp.{zip,tar.gz} contain scripts and other
source files, with which the experiments were conducted and the document
with the result diagrams was created.
Note that the scripts etc. were developed on/for a GNU/Linux
system (Ubuntu 12.10 or later) and thus are directly executable on such
a system or a similar one (that is, some other GNU/Linux distribution).
Although at least most of the Python scripts should also be working
on a Windows system (with the possible exception of the parallelization
scripts), most of the other scripts (like the run script,
which is the main control script, and the makefile, which
controls generating the diagrams from the result data) may need
porting to batch files or something similar.
On a GNU/Linux system, the following software needs to be installed to run the experiments:
ovlexp
package will also work without this extension module, namely by
falling back on a pure Python replacement, which, however, is
slower by a factor of about 40 or more),pdflatex program,mptopdf command,bash,
awk, tar etc.) and are easy to install
otherwise.On such a system the experiments can be run by simply calling
the main script run (in the directory ovlexp)
on the command line, which does everything. The execution of the
experiments exploits 4-fold parallelization, thus making full use of the
quadcore processors basically all modern computers are equipped with.
The progress of the experiments can be followed on the command line,
to which regular progress messages are written. Once all experiments
are completed (which, even on a modern computer system, can take
several days, mainly because of the huge number of individual
experimental runs, namely in the hundreds of thousands), the result
diagrams are created and compiled into the final documents, which
are also directly available above.