An ultra low power spiking neural encoder of microwave signals

Loyez, Christophe; Danneville, François

Document type :

Article dans une revue scientifique: Article original

DOI :

10.1016/j.sse.2024.108910

Title :

An ultra low power spiking neural encoder of microwave signals

Author(s) :

Loyez, Christophe [Auteur]

Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Danneville, François [Auteur]

Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]

Journal title :

Solid-State Electronics

Pages :

108910

Publisher :

Elsevier

Publication date :

2024-06

ISSN :

0038-1101

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [en]

In this paper, an original concept is presented in order to perform the spike-based encoding of a Continuous Wave (CW) microwave signal. It relies upon the use of the so-called Morris-Lecar Artificial Neuron (ML AN). It ...
Show more >In this paper, an original concept is presented in order to perform the spike-based encoding of a Continuous Wave (CW) microwave signal. It relies upon the use of the so-called Morris-Lecar Artificial Neuron (ML AN). It is demonstrated that, when applying the CW microwave signal to the ML AN through a transconductance, spike encoding (with low spike frequency) occurs. It is shown that: (i) the output spike frequency varies as function of the CW microwave voltage signal magnitude, (ii) spike encoding of the microwave signal is observed up to a RF frequency as high as 16 GHz. Thanks to the use of the ML AN to perform this microwave signal encoding, an outstanding ultra low power consumption – less than 100 pW – is achieved.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL

An ultra low power spiking neural encoder ... BibTeX CSV Excel RIS

An ultra low power spiking neural encoder ...

BibTeX

CSV

Excel

RIS