Applied and Computational Engineering
- The Open Access Proceedings Series for Conferences
Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
Series Vol. 6 , 14 June 2023
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Access | Article
The history of neuromorphic computing and its application on recognition systems
* Author to whom correspondence should be addressed.
Abstract
Since the invention of the memristive device with a nano-scale footprint, a lot of scholars have started to focus on the area of recognition systems based on the Complementary Metal-Oxide Semiconductor chips (CMOS) integrated with memristive devices. This paper’s goal is to compare and analyze the advantage and disadvantage on the near research on the cognitive machine. Start with the construction of a simple dynamic model of neurons in Section 2, the history of the development of the recognitive machine is introduced in Section 3. Section 4 focusing on the comparison and analysis of researches done by different scholars. Through the comparison of multiple scholars’ work, improvement of the memory system would be a potential way to improve the recognition system nowadays, and it is discussed in the conclusion.
Keywords
Neuromorphic Computing, Recognition System, Silicon Neuron, Silicon Synapse, Very Large-Scale Integration (VLSI), Complementary metal–oxide–semiconductor (CMOS).
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
- ISBN (Print)
- 978-1-915371-59-1
- ISBN (Online)
- 978-1-915371-60-7
- Published Date
- 14 June 2023
- Series
- Applied and Computational Engineering
- ISSN (Print)
- 2755-2721
- ISSN (Online)
- 2755-273X
- DOI
- 10.54254/2755-2721/6/20230733
- Copyright
- 14 June 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited