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Artículo
Generalized reconfigurable memristive dynamical system (MDS) for neuromorphic applications
(Frontiers Media, 2015)
This study firstly presents (i) a novel general cellular mapping scheme for two dimensional neuromorphic dynamical systems such as bio-inspired neuron models, and (ii) an efficient mixed analog-digital circuit, which can ...
Artículo
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
(IEEE, 2022)
Brain-inspired computing employs devices and architectures that emulate biological functions for more adaptive and energy-efficient systems. Oscillatory neural networks (ONNs) are an alternative approach in emulating ...
Artículo
Digital Implementation of Oscillatory Neural Network for Image Recognition Applications
(Frontiers Media, 2021)
Computing paradigm based on von Neuman architectures cannot keep up with the ever-increasing data growth (also called “data deluge gap”). This has resulted in investigating novel computing paradigms and design approaches ...
Artículo
Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic
(Frontiers Media, 2021)
Nano-oscillators based on phase-transition materials are being explored for the implementation of different non-conventional computing paradigms. In particular, vanadium dioxide (VO2) devices are used to design autonomous ...
Artículo
Experimental Demonstration of Coupled Differential Oscillator Networks for Versatile Applications
(Frontiers Media SA, 2023)
Oscillatory neural networks (ONNs) exhibit a high potential for energy-efficient computing. In ONNs, neurons are implemented with oscillators and synapses with resistive and/or capacitive coupling between pairs of oscillators. ...
Artículo
Learning Algorithms for Oscillatory Neural Networks as Associative Memory for Pattern Recognition
(Frontiers Media SA, 2023)
Alternative paradigms to the von Neumann computing scheme are currently arousing huge interest. Oscillatory neural networks (ONNs) using emerging phase-change materials like VO2 constitute an energy-efficient, massively ...