Neuromorphic Computing

Authors

  • Dr. Avinash S. Kapse  HOD, Information Technology, Anuradha Engineering College Chikhli, Maharashtra, India
  • Ms. Sandhya A. Kale  Student, Information Technology Department, Anuradha Engineering College, Chikhli, Maharashtra, India
  • Ms. Asha Gaurave  Student, Information Technology Department, Anuradha Engineering College, Chikhli, Maharashtra, India

Keywords:

Spiking Neural Networks (SNNs), Phase-Change Memories (PCMs)

Abstract

This paper gives an outline of the difficulties looked by equipment executed Spiking Neural Networks, from gadget to circuit plan, unwavering quality and test. We present a far-reaching depiction of the best-in class neuromorphic models enlivened by cerebrum calculation, with extraordinary accentuation on Spiking Neural Networks (SNNs), along with arising advancements that have empowered such frameworks, specifically Stage Change and Metal Oxide Resistive Memories. At long last, we examine the principle challenges looked by equipment usage of SNNs, their unwavering quality and post-creation test issues

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 8, Issue 4, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Avinash S. Kapse, Ms. Sandhya A. Kale, Ms. Asha Gaurave, " Neuromorphic Computing" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 4, pp.45-52, May-June-2021.