| Author(s) |
Dejan Pecevski
Thomas Natschläger
Klaus Schuch
|
| Title |
PCSIM: A parallel simulation environment for neural |
| Typ |
Article |
| Month |
May |
| Year |
2009 |
| Journal |
Frontiers in Neuroinformatics |
| Volume |
3 |
| Pages |
doi:10.3389/neuro.11/011.2009 |
| Number |
11 |
| SCCH # |
0914 |
| The Parallel Circuit SIMulator (PCSIM) is a software package for simulation of neural
circuits. It is primarily designed for distributed simulation of large scale networks of spiking
point neurons. Although its computational core is written in C++, PCSIM’s primary interface
is implemented in the Python programming language, which is a powerful programming
environment and allows the user to easily integrate the neural circuit simulator with data
analysis and visualization tools to manage the full neural modeling life cycle. The main focus
of this paper is to describe PCSIM’s full integration into Python and the benefits thereof.
In particular we will investigate how the automatically generated bidirectional interface and
PCSIM’s object-oriented modular framework enable the user to adopt a hybrid modeling approach:
using and extending PCSIM’s functionality either employing pure Python or C++
and thus combining the advantages of both worlds. Furthermore, we describe several supplementary
PCSIM packages written in pure Python and tailored towards setting up and
analyzing neural simulations. |