Connection-set Algebra (CSA) for the representation of connectivity in NN models (Djurfeldt 2012)

"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."

Model Type: Connectionist Network

Model Concept(s): Methods

Simulation Environment: C or C++ program; Python

Implementer(s): Djurfeldt M


Djurfeldt M. (2012). The connection-set algebra--a novel formalism for the representation of connectivity structure in neuronal network models. Neuroinformatics. 10 [PubMed]

Djurfeldt M et al. (2008). Brain-scale simulation of the neocortex on the Blue Gene/L supercomputer IBM Journal of Research and Development. 52(1/2)

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