Digital Implementation of Oscillatory Neural Network for Image Recognition Applications

Digital Implementation of Oscillatory Neural Network for Image Recognition Applications

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 at all levels from materials to system-level implementations and applications....

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Bibliographic Details
Main Authors: Madeleine Abernot, Thierry Gil, Manuel Jiménez, Juan Núñez, María J. Avellido, Bernabé Linares-Barranco, Théophile Gonos, Tanguy Hardelin, Aida Todri-Sanial
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Neuroscience
Subjects:
artificial intelligence
auto-associative memory
FPGA implementations
learning rules
oscillatory neural networks
pattern recognition
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.713054/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.713054/full

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