Vectorized algorithms for spiking neural network simulation (Brette and Goodman 2011)


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Accession:137989
"... We describe a set of algorithms to simulate large spiking neural networks efficiently with high-level languages using vector-based operations. These algorithms constitute the core of Brian, a spiking neural network simulator written in the Python language. Vectorized simulation makes it possible to combine the flexibility of high-level languages with the computational efficiency usually associated with compiled languages."
Reference:
1 . Brette R, Goodman DF (2011) Vectorized Algorithms for Spiking Neural Network Simulation. Neural Comput [PubMed]
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Simulation Environment: Brian (web link to method); Python (web link to model);
Model Concept(s): Methods;
Implementer(s): Brette R; Goodman PH;
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