Neuromorphic object localization using resistive memories and ultrasonic transducers

Neuromorphic object localization using resistive memories and ultrasonic transducers

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.

Bibliographic Details
Main 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
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-31157-y

Internet

https://doi.org/10.1038/s41467-022-31157-y

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