"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."
Reference:
1 .
Djurfeldt M (2012) The connection-set algebra--a novel formalism for the representation of connectivity structure in neuronal network models. Neuroinformatics 10:287-304 [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
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