A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
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.
Cite
Text
Millner et al. "A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model." Neural Information Processing Systems, 2010.Markdown
[Millner et al. "A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model." Neural Information Processing Systems, 2010.](https://mlanthology.org/neurips/2010/millner2010neurips-vlsi/)BibTeX
@inproceedings{millner2010neurips-vlsi,
title = {{A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model}},
author = {Millner, Sebastian and Grübl, Andreas and Meier, Karlheinz and Schemmel, Johannes and Schwartz, Marc-olivier},
booktitle = {Neural Information Processing Systems},
year = {2010},
pages = {1642-1650},
url = {https://mlanthology.org/neurips/2010/millner2010neurips-vlsi/}
}