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Neuromorphic object localization using resistive memories and ultrasonic transducers

Authors :
Filippo Moro
Emmanuel Hardy
Bruno Fain
Thomas Dalgaty
Paul Clémençon
Alessio De Prà
Eduardo Esmanhotto
Niccolò Castellani
François Blard
François Gardien
Thomas Mesquida
François Rummens
David Esseni
Jérôme Casas
Giacomo Indiveri
Melika Payvand
Elisa Vianello
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

The real-world object localization application needs a low-latency and power efficient computing system. Here, Moro et al. demonstrate a neuromorphic in-memory event driven system, inspired by the barn owl’s neuroanatomy, which is orders of magnitude more energy efficient than microcontrollers.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.642c7260a4084e1b9832c2fb898fd411
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-31157-y