A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
Sebastian C Millner · Andreas GrĂ¼bl · Karlheinz Meier · Johannes Schemmel · Marc-Olivier Schwartz
2010 Poster
Abstract
We describe an accelerated hardware neuron being capable of emulating the adap-tive exponential integrate-and-fire neuron model. Firing patterns of the membrane stimulated by a step current are analyzed in transistor level simulation and in silicon on a prototype chip. The neuron is destined to be the hardware neuron of a highly integrated wafer-scale system reaching out for new computational paradigms and opening new experimentation possibilities. As the neuron is dedicated as a universal device for neuroscientific experiments, the focus lays on parameterizability and reproduction of the analytical model.
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