Learning algorithms for oscillatory neural networks as associative memory for pattern recognition

Learning algorithms for oscillatory neural networks as associative memory for pattern recognition

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 parallel, brain-inspired, in-memory computing approach. The encoding of informat...

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Bibliographic Details
Main Authors: Manuel Jiménez, María J. Avedillo, Bernabé Linares-Barranco, Juan Núñez
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Neuroscience
Subjects:
oscillatory neural networks (ONNs)
associative memory
pattern recognition
character recognition
machine learning algorithms
hopfield neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1257611/full

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https://www.frontiersin.org/articles/10.3389/fnins.2023.1257611/full

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