2021
DOI: 10.3389/fnins.2021.713054
|View full text |Cite
|
Sign up to set email alerts
|

Digital Implementation of Oscillatory Neural Network for Image Recognition Applications

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 exte… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
43
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
2

Relationship

3
4

Authors

Journals

citations
Cited by 24 publications
(43 citation statements)
references
References 56 publications
0
43
0
Order By: Relevance
“…After validation of the ONN-HAM solution with the Matlab emulator, we simulate it with a fully digital ONN design. The design was presented in [1]. It took inspiration from a hybrid analog-digital design proposed by [15].…”
Section: Onn Fully Digital Designmentioning
confidence: 99%
See 3 more Smart Citations
“…After validation of the ONN-HAM solution with the Matlab emulator, we simulate it with a fully digital ONN design. The design was presented in [1]. It took inspiration from a hybrid analog-digital design proposed by [15].…”
Section: Onn Fully Digital Designmentioning
confidence: 99%
“…The main drawback of our ONN-HAM solution is its run time, but there is room for improving the ONN digital design [1] for image processing timing requirements. First, we can increase the FPGA frequency, and consequently, ONN oscillation frequency.…”
Section: Timing Performancesmentioning
confidence: 99%
See 2 more Smart Citations
“…In this work, we propose a first on-chip learning architecture using a digital ONN design performing AAM. We use the digital ONN design from [8] and implement it in the Programmable Logic (PL) of a ZYNQ processor, see Fig. 2.…”
Section: Introductionmentioning
confidence: 99%