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Neuromorphic object localization using resistive memories and ultrasonic transducers
- 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 :
- Science
Subjects
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