Skip to Main content Skip to Navigation
Journal articles

Digital Implementation of Oscillatory Neural Network for Image Recognition Application

Abstract : 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. An alternative computing approach based on artificial neural networks uses oscillators to compute or Oscillatory Neural Networks (ONNs). ONNs can perform computations efficiently and can be used to build a more extensive neuromorphic system. Here, we address a fundamental problem: can we efficiently perform artificial intelligence applications with ONNs? We present a digital ONN implementation to show a proof-of-concept of the ONN approach of “computing-in-phase” for pattern recognition applications. To the best of our knowledge, this is the first attempt to implement an FPGA-based fully-digital ONN. We report ONN accuracy, training, inference, memory capacity, operating frequency, hardware resources based on simulations and implementations of 5 × 3 and 10 × 6 ONNs. We present the digital ONN implementation on FPGA for pattern recognition applications such as performing digits recognition from a camera stream. We discuss practical challenges and future directions in implementing digital ONN.
Complete list of metadata

https://hal-lirmm.ccsd.cnrs.fr/lirmm-03185020
Contributor : Isabelle Gouat Connect in order to contact the contributor
Submitted on : Wednesday, September 22, 2021 - 7:35:01 PM
Last modification on : Friday, August 5, 2022 - 3:02:16 PM
Long-term archiving on: : Thursday, December 23, 2021 - 7:21:18 PM

File

fnins-15-713054.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Madeleine Abernot, Thierry Gil, Manuel Jiménez Través, Juan Núñez, María José Avedillo de Juan, et al.. Digital Implementation of Oscillatory Neural Network for Image Recognition Application. Frontiers in Neuroscience, Frontiers, 2021, 15, pp.#713054. ⟨10.3389/fnins.2021.713054⟩. ⟨lirmm-03185020⟩

Share

Metrics

Record views

186

Files downloads

55