Compact and Energy Efficient Neuron With Tunable Spiking Frequency in 22-nm FDSOI

Eslahi, H; Hamilton, TJ; Khandelwal, S

Compact and Energy Efficient Neuron With Tunable Spiking Frequency in 22-nm FDSOI

Eslahi, H Hamilton, TJ Khandelwal, S

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Nanotechnology, 2022, 21, pp. 189-195
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Eslahi, H
dc.contributor.author	Hamilton, TJ
dc.contributor.author	Khandelwal, S
dc.date.accessioned	2023-03-21T00:50:21Z
dc.date.available	2023-03-21T00:50:21Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE Transactions on Nanotechnology, 2022, 21, pp. 189-195
dc.identifier.issn	1536-125X
dc.identifier.issn	1941-0085
dc.identifier.uri	http://hdl.handle.net/10453/167860
dc.description.abstract	In this paper, we present a mixed-signal integrate and fire neuron designed in a 22-nm FDSOI technology. In this novel design, we deploy the back-gate terminal of FDSOI technology for a tunable design. For the first time, we show analytically and with pre- and post-layout simulations a neuron with tunable spiking frequency using the back-gate voltage of FDSOI technology. The neuron circuit is designed in the sub-threshold region and dissipates an ultra-low energy per spike of the order of Femto Joules per spike. With the layout area of only 30 μm2, this is the smallest neuron circuit reported to date.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Nanotechnology
dc.relation.isbasedon	10.1109/TNANO.2022.3157585
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0303 Macromolecular and Materials Chemistry, 0906 Electrical and Electronic Engineering, 1007 Nanotechnology
dc.subject.classification	Nanoscience & Nanotechnology
dc.title	Compact and Energy Efficient Neuron With Tunable Spiking Frequency in 22-nm FDSOI
dc.type	Journal Article
utslib.citation.volume	21
utslib.for	0303 Macromolecular and Materials Chemistry
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1007 Nanotechnology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-21T00:50:20Z
pubs.publication-status	Published
pubs.volume	21

Abstract:

In this paper, we present a mixed-signal integrate and fire neuron designed in a 22-nm FDSOI technology. In this novel design, we deploy the back-gate terminal of FDSOI technology for a tunable design. For the first time, we show analytically and with pre- and post-layout simulations a neuron with tunable spiking frequency using the back-gate voltage of FDSOI technology. The neuron circuit is designed in the sub-threshold region and dissipates an ultra-low energy per spike of the order of Femto Joules per spike. With the layout area of only 30 μm2, this is the smallest neuron circuit reported to date.

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http://hdl.handle.net/10453/167860