Editorial: Powering the next-generation IoT applications: new tools and emerging technologies for the development of Neuromorphic System of Systems

From National Research Council Canada

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DOI	Resolve DOI: https://doi.org/10.3389/fnins.2023.1197918
Author	Search for: Urgese, Gianvito; Search for: Rios-Navarro, Antonio; Search for: Linares-Barranco, Alejandro; Search for: Stewart, Terrence C.¹; Search for: Michmizos, Konstantinos
Affiliation	National Research Council of Canada. Digital Technologies
Format	Text, Article
Subject	brain-inspired computational primitives; neuromorphic engineering; neuromorphic IoT applications; neuromorphic tools; sensory fusion; neuromorphic computing; neuromorphic framework
Abstract	The brain, this 3-pound mass of tissue that can easily be held in one’s palm, has an inherent computational complexity that has always inspired efforts to endorse machines with some of its remarkable characteristics. Ironically, the brain computes in its own way, compared to analog or digital computers, despite sharing key concepts with both. It employs analog computation but digital communication, through spikes, both of which improve robustness to noise. This unique combination defines a new computational paradigm that we have just started to explore.
Publication date	2023-05-04
Publisher	Frontiers Media
Licence	Creative Commons, Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
In	Frontiers in Neuroscience 17 (4 May 2023).
Language	English
Peer reviewed	Yes
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Record identifier	a04d5417-c8a6-484f-8a61-4124c2892a87
Record created	2024-06-03
Record modified	2024-06-03

Date modified:: 2025-11-19