Phase Coupling and Control of Oxide-Based Oscillators for Neuromorphic Computing
Neuromorphic computing using neural network hardware has attracted significant interest as it promises improved performance at low power for data-intensive error-resilient graphical signal processing. Oscillatory neural networks (ONNs) use either frequency or phase as state variables to implement fr...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2015-01-01
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Series: | IEEE Journal on Exploratory Solid-State Computational Devices and Circuits |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7140766/ |