FPGA Implementation of Nerve Cell Using Izhikevich Neuronal Model as Spike Generator (SG)-Reference-Cited by-同舟云学术

FPGA Implementation of Nerve Cell Using Izhikevich Neuronal Model as Spike Generator (SG)

Published:2024 Issue: Volume:12 Page:2303-2312
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Islam Mohammed Tariqul¹^ORCID,Hazzazi Fawwaz²^ORCID,Hoque Ahasanul³^ORCID,Haghiri Saeed⁴^ORCID,Chaudhary Muhammad Akmal⁵^ORCID,Ghanbarpour Milad⁴^ORCID

Affiliation:

1. Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia

2. Department of Electrical Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

3. Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, Malaysia

4. Department of Electrical Engineering, Kermanshah University of Technology, Kermanshah, Iran

5. Department of Electrical and Computer Engineering, College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates

Funder

Ministry of Higher Education (MOHE) through the Fundamental Research Grants Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10359518.pdf?arnumber=10359518

Reference29 articles.

1. Multiplierless Implementation of Noisy Izhikevich Neuron With Low-Cost Digital Design

2. A Digital Neuromorphic Realization of the 2-D Wilson Neuron Model

3. Low Cost Digital Implementation of Hybrid FitzHugh Nagumo–Morris Lecar Neuron Model Considering Electromagnetic Flux Coupling

4. Simple model of spiking neurons

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