Connection-Set Algebra

Object Tabs

This is a demonstration implementation in Python of the Connection-Set Algebra (Djurfeldt, 2012)

Purpose

The CSA library provides elementary connection-sets and operators for combining them. It also provides an iteration interface to such connection-sets enabling efficient iteration over existing connections with a small memory footprint also for very large networks. The CSA can be used as a component of neuronal network simulators or other tools.

See the following reference for more information:

Mikale Djurfeldt (2012) "The Connection-set Algebra---A Novel Formalism for the Representation of Connectivity Structure in Neuronal Network Models" Neuroinformatics 10(3), 1539-2791, <http://dx.doi.org/10.1007/s12021-012-9146-1>

License

GNU General Public License

Prerequirements

Python Numpy Matplotlib

Ease of Use

Intermediate

Maturity

Intermediate

Operating system

Any

Downloads

This tool has been downloaded 360 times.

3 files

Ratings & Reviews

(0)

Average rating

0 Reviews

Post a Review

You are not logged in Log in or Register to post reviews.

Topics

Keywords

computational neuroscience, modeling, simulator, connectivity,

Contact person

Mikael Djurfeldt
INCF, Karolinska Institute

Members

Mikael Djurfeldt

Registered:: Jun 11, 2010
Last Modified:: Feb 18, 2013

Sections