Title:

GS1-1 Compensating Temperature-Dependent Characteristics of a Subthreshold-MOSFET Analog Silicon Neuron

Publication: ICAROB2016
Volume: 21
Pages: 116-119
ISSN: 2188-7829
DOI: 10.5954/ICAROB.2016.GS1-1
Author(s): Ethan Green, Takashi Kohno
Publication Date: January 29, 2016
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.
PDF File: https://alife-robotics.co.jp/members2016/icarob/data/papers/GS/GS1-1.pdf
Copyright: © The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
See for details: https://creativecommons.org/licenses/by-nc/4.0/

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