A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model

Abstract

We describe an accelerated hardware neuron being capable of emulating the adaptive exponential integrate-and-fire neuron model. Firing patterns of the membrane stimulated by a step current are analyzed in transistor level simulations 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.

Extracted Key Phrases

7 Figures and Tables

010202011201220132014201520162017
Citations per Year

56 Citations

Semantic Scholar estimates that this publication has 56 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Millner2010AVI, title={A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model}, author={Sebastian Millner and Andreas Gr{\"{u}bl and Karlheinz Meier and Johannes Schemmel and Marc-Olivier Schwartz}, booktitle={NIPS}, year={2010} }