Abstract
Natural organic materials such as protein and carbohydrates are abundant in nature, renewable, and biodegradable, desirable for the construction of artificial synaptic devices for emerging neuromorphic computing systems with energy efficient operation and environmentally friendly disposal. These artificial synaptic devices are based on memristors or transistors with the memristive layer or gate dielectric formed by natural organic materials. The fundamental requirement for these synaptic devices is the ability to mimic the memory and learning behaviors of biological synapses. This paper reviews the synaptic functions emulated by a variety of artificial synaptic devices based on natural organic materials and provides a useful guidance for testing and investigating more of such devices.
Recommended Citation
M. M. Tanim et al., "Natural Organic Materials based Memristors and Transistors for Artificial Synaptic Devices in Sustainable Neuromorphic Computing Systems," Micromachines, vol. 14, no. 2, article no. 235, MDPI, Feb 2023.
The definitive version is available at https://doi.org/10.3390/mi14020235
Department(s)
Electrical and Computer Engineering
Publication Status
Open Access
Keywords and Phrases
artificial synaptic device; memristor; natural organic materials; neuromorphic computing; synaptic functions; transistor
International Standard Serial Number (ISSN)
2072-666X
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2025 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Feb 2023
Comments
Washington State University Vancouver, Grant ECCS-2104976