An Analog Memory Circuit for Spiking Silicon Neurons
Abstract
A simple circuit is described that functions as an analog memory whose state and dynamics are directly controlled by pulsatile inputs. The circuit has been incorporated into a silicon neuron with a spatially extensive dendritic tree as a means of controlling the spike firing threshold of an integrate-and-fire soma. Spiking activity generated by the neuron itself and by other units in a network can thereby regulate the neuron's excitability over time periods ranging from milliseconds to many minutes. Experimental results are presented showing applications to temporal edge sharpening, bistable behavior, and a network that learns in the manner of classical conditioning.
Cite
Text
Elias et al. "An Analog Memory Circuit for Spiking Silicon Neurons." Neural Computation, 1997. doi:10.1162/NECO.1997.9.2.419Markdown
[Elias et al. "An Analog Memory Circuit for Spiking Silicon Neurons." Neural Computation, 1997.](https://mlanthology.org/neco/1997/elias1997neco-analog/) doi:10.1162/NECO.1997.9.2.419BibTeX
@article{elias1997neco-analog,
title = {{An Analog Memory Circuit for Spiking Silicon Neurons}},
author = {Elias, John G. and Northmore, David P. M. and Westerman, Wayne},
journal = {Neural Computation},
year = {1997},
pages = {419-440},
doi = {10.1162/NECO.1997.9.2.419},
volume = {9},
url = {https://mlanthology.org/neco/1997/elias1997neco-analog/}
}