Simulation of Spiking Neural Networks – Architectures and Implementations

Schäfer M, Schönauer T, Wolff C, Hartmann G, Klar H, Rückert U (2002)
Neurocomputing 48(1-4): 647-679.

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The fast simulation of large networks of spiking neurons is a major task for the ex- amination of biology-inspired vision systems. Networks of this type label features by syn- chronization of spikes and there is strong demand to simulate these e
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Schäfer M, Schönauer T, Wolff C, Hartmann G, Klar H, Rückert U. Simulation of Spiking Neural Networks – Architectures and Implementations. Neurocomputing. 2002;48(1-4):647-679.
Schäfer, M., Schönauer, T., Wolff, C., Hartmann, G., Klar, H., & Rückert, U. (2002). Simulation of Spiking Neural Networks – Architectures and Implementations. Neurocomputing, 48(1-4), 647-679.
Schäfer, M., Schönauer, T., Wolff, C., Hartmann, G., Klar, H., and Rückert, U. (2002). Simulation of Spiking Neural Networks – Architectures and Implementations. Neurocomputing 48, 647-679.
Schäfer, M., et al., 2002. Simulation of Spiking Neural Networks – Architectures and Implementations. Neurocomputing, 48(1-4), p 647-679.
M. Schäfer, et al., “Simulation of Spiking Neural Networks – Architectures and Implementations”, Neurocomputing, vol. 48, 2002, pp. 647-679.
Schäfer, M., Schönauer, T., Wolff, C., Hartmann, G., Klar, H., Rückert, U.: Simulation of Spiking Neural Networks – Architectures and Implementations. Neurocomputing. 48, 647-679 (2002).
Schäfer, Martin, Schönauer, Tim, Wolff, Carsten, Hartmann, Georg, Klar, H., and Rückert, Ulrich. “Simulation of Spiking Neural Networks – Architectures and Implementations”. Neurocomputing 48.1-4 (2002): 647-679.
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