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Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012)
Accession: 144455
"The connection-set algebra (CSA) is a novel and general formalism for the description of connectivity in neuronal network models, from small-scale to large-scale structure. ... The expressiveness of CSA makes prototyping of network structure easy. A C++ version of the algebra has been implemented and used in a large-scale neuronal network simulation (Djurfeldt et al., IBM J Res Dev 52(1/2):31–42, 2008b) and an implementation in Python has been publicly released."
References:
1. Djurfeldt M (2012) The Connection-set Algebra-A Novel Formalism for the Representation of Connectivity Structure in Neuronal Network Models Neuroinformatics [Epub ahead of print] [PubMed]
2. Djurfeldt M, Lundqvist M, Johansson C, Rehn M, Ekeberg O, Lansner A (2008b) Brain-scale simulation of the neocortex on the Blue Gene/L supercomputer IBM Journal of Research and Development 52(1/2):31-42
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type:  
Brain Region(s)/Organism:  
Cell Type(s):   
Channel(s):   
Gap Junctions:  
Receptor(s):  
Gene(s):  
Transmitter(s):  
Simulation Environment:  C or C++ program; Python;
Model Concept(s):  Methods;
Implementer(s):  Djurfeldt M;
\
csa_weblink
index.html
csa.zip
                            
Note from the ModelDB Administrator: the CSA software can be
downloaded on a linux machine with the following command:

svn co http://svn.incf.org/svn/csa

(hitting return a couple of times for the password).

After making sure all the packages are installed (searching for and
installing through the synaptic package manager in ubuntu is
relatively easy) that are listed in the release notes
(./csa/csa/trunk/RELEASE) type in the (wherever you
downloaded)/csa/csa/trunk/ folder the command:

sudo python setup.py install

More information is available from a link in the paper:
http://software.incf.org/software/csa

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