Find models by
Find models for
Find models of
Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012)
Download zip file
Help downloading and running models
"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."
Djurfeldt M (2012) The connection-set algebra--a novel formalism for the representation of connectivity structure in neuronal network models.
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
(Click on a link to find other models with that property)
C or C++ program;
Download the displayed file
ModelDB scripts have detected that binary file '/csa_weblink/csa.zip' is not displayable. You may download the file to examine if desired.
<- Select file from this column.