Files and links (1)
CC BY-NC-SA V4.0, Open Access
Thesis
Natural Organic Artificial Synapses for In-Memory Computing
Washington State University
Master of Science (MS), Washington State University
2023
DOI:
https://doi.org/10.7273/000005242
Abstract
Artificial synaptic devices are the essential hardware component in emerging neuromorphic computing systems by mimicking biological synapses and brain functions. When made from natural organic materials, they have the potential to improve sustainability of computing by biodegradable and environmentally-friendly disposal. This thesis reports two new natural organic memristor-based artificial synaptic devices with the memristive film processed by pure honey and honey-carbon nanotube (CNT) admixture. The resistive switching characteristics of both memristors were studied and compared. Results show that the switching speed and stability in the SET and RESET process were improved in honey-CNT memristor. Synaptic functionalities such as neural facilitation, short-term plasticity and its transition to long-term plasticity for memory rehearsal, spatial summation, and shunting inhibition, etc., and for the first time, the classical conditioning behavior for associative learning by mimicking the Pavlov’s dog experiment, were demonstrated in honey-CNT memristors. All these results testify that honey and honey-CNT memristor-based artificial synaptic devices are promising for energy-efficient and eco-friendly in-memory computing systems.
Metrics
15 File views/ downloads
57 Record Views
Details
- Title
- Natural Organic Artificial Synapses for In-Memory Computing
- Creators
- Md Mehedi Hasan Tanim
- Contributors
- Feng FZ Zhao (Advisor)Xinghui XZ Zhao (Committee Member)Hang HG Gao (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- Engineering and Computer Science (VANC), School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Number of pages
- 106
- Identifiers
- 99901019937901842
- Language
- English
- Resource Type
- Thesis