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

DOI

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/).

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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  - 10.2991/jrnal.2016.2.4.1
ID  - Green2016
ER  -