Editorial: Neuro-inspired sensing and computing: Novel materials, devices, and systems

Neuromorphic sensing and computing technologies have attracted enormous attention from academia and industry, due to their potential applications in intelligent sensing, parallel processing, and cognitive computing with low power consumption (Zhu et al., 2018; Sun et al., 2019; Wang et al., 2020; Li...

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Bibliographic Details
Published in:Frontiers in computational neuroscience 2023-01, Vol.17, p.1126493-1126493
Main Authors: Tan, Hongwei, Sun, Zhong, Zhu, Xiaojian
Format: Article
Language:English
Subjects:
Algorithms
arithmetic memristor
Artificial intelligence
Cognitive ability
efficient spiking algorithm
Energy efficiency
Information processing
Integrated circuits
Mathematics
Neck pain
Neural networks
neuromorphic sensing and computing
Neuroscience
neuroscience of pain
Neurosciences
Power consumption
reservoir network
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Summary:Neuromorphic sensing and computing technologies have attracted enormous attention from academia and industry, due to their potential applications in intelligent sensing, parallel processing, and cognitive computing with low power consumption (Zhu et al., 2018; Sun et al., 2019; Wang et al., 2020; Liao et al., 2022). Implementation of arithmetic logic operations taking advantage of the non-linear characteristics of memristor can significantly improve the energy efficiency and simplify the complexity of peripheral circuits. [...]we thank all the contributing authors for their novel research works and publications.
ISSN:1662-5188
1662-5188
DOI:10.3389/fncom.2023.1126493