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Modeling Spiking Neural Networks on SpiNNaker

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6 Author(s)

SpiNNaker is a massively parallel architecture with more than a million processing cores that can model up to 1 billion spiking neurons in biological real time. Here, we offer an overview of our research project and describe the first experiments with these test chips running spiking neurons based on Eugene Izhikevich's model. Note that we're not targeting artificial neural networks (such as perceptrons or multilayer networks) that were inspired by, but don't model, biologically plausible neural systems.

Published in:

Computing in Science & Engineering  (Volume:12 ,  Issue: 5 )