Compensating Temperature-Dependent Characteristics of a Subthreshold-MOSFET Analog Silicon Neuron

Authors
Ethan Green, Takashi Kohno
Corresponding Author
Ethan Green
Available Online 1 March 2016.
DOI
https://doi.org/10.2991/jrnal.2016.2.4
Keywords
neuromorphic engineering, analog VLSI, silicon neurons
Abstract
Analog silicon neurons are neuro-mimetic VLSI (very-large-scale-integrated) circuits that replicate the electrophysiological behavior of animal nerve tissue. This research focuses on the temperature sensitivity of a subthreshold-MOSFET analog silicon neuron. Subthreshold operation of CMOS transistors allows for low power consumption, but is also drastically sensitive to temperature changes. This critical issue must be addressed before these circuits can be implemented into massive networks to develop future neuromorphic technologies.

Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)