Programmable Analog Pulse-Firing Neural Networks
Abstract
We describe pulse - stream firing integrated circuits that imple(cid:173) ment asynchronous analog neural networks. Synaptic weights are stored dynamically, and weighting uses time-division of the neural pulses from a signalling neuron to a receiving neuron. MOS transistors in their "ON" state act as variable resistors to control a capacitive discharge, and time-division is thus achieved by a small synapse circuit cell. The VLSI chip set design uses 2.5J.1.m CMOS technology.
Cite
Text
Hamilton et al. "Programmable Analog Pulse-Firing Neural Networks." Neural Information Processing Systems, 1988.Markdown
[Hamilton et al. "Programmable Analog Pulse-Firing Neural Networks." Neural Information Processing Systems, 1988.](https://mlanthology.org/neurips/1988/hamilton1988neurips-programmable/)BibTeX
@inproceedings{hamilton1988neurips-programmable,
title = {{Programmable Analog Pulse-Firing Neural Networks}},
author = {Hamilton, Alister and Murray, Alan F. and Tarassenko, Lionel},
booktitle = {Neural Information Processing Systems},
year = {1988},
pages = {671-677},
url = {https://mlanthology.org/neurips/1988/hamilton1988neurips-programmable/}
}