Journal of Robotics, Networking and Artificial Life

Volume 2, Issue 4, March 2016, Pages 209 - 212

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.2016.2.4.1How to use a DOI?
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 Atlantis Press.
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)

Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
2 - 4
Pages
209 - 212
Publication Date
2016/03/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.2016.2.4.1How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ethan Green
AU  - Takashi Kohno
PY  - 2016
DA  - 2016/03/01
TI  - Compensating Temperature-Dependent Characteristics of a Subthreshold-MOSFET Analog Silicon Neuron
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 209
EP  - 212
VL  - 2
IS  - 4
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2016.2.4.1
DO  - https://doi.org/10.2991/jrnal.2016.2.4.1
ID  - Green2016
ER  -