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HONEY-BASED ARTIFICIAL SYNAPTIC DEVICES FOR RENEWABLE NEUROMORPHIC COMPUTING APPLICATIONS
Thesis   Open access

HONEY-BASED ARTIFICIAL SYNAPTIC DEVICES FOR RENEWABLE NEUROMORPHIC COMPUTING APPLICATIONS

Zoe Alicia Templin
Master of Science (MS), Washington State University
12/2025
DOI:
https://doi.org/10.7273/000008334
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Zoe MASTERS Thesis1.66 MBDownloadView
Open Access CC BY V4.0

Abstract

Artificial Synaptic Devices Honey Memristors Natural Organic Materials Resistive Memory Synaptic Plasticity
The search for sustainable yet energy-efficient electronic devices has been a primary goal in the development of artificial synaptic devices for neuromorphic computing. Neuromorphic computing offers an overlap of memory and processing driven by synaptic plasticity mechanisms found in the brain, potentially reducing overall power consumption for computing processes. In addition, sustainable components and natural organic materials can be incorporated into artificial synaptic devices, allowing for an even more environmentally conscientious approach to their fabrication. This thesis examines Honey and Honey-CNT of different processing conditions as natural organic materials in memristors for both their ReRAM and synaptic plasticity memory capabilities. The resistive switching capabilities, including switching characteristics, endurance, and retention, were examined on Honey and Honey-CNT memristors. Synaptic plasticity was also examined for honey-based artificial synaptic devices, including short term and long term memory, spike-time-dependent plasticity, paired pulse facilitation, and potentiation and depression. These results show honey and honey-CNT's advancement as artificial synaptic device dielectrics and their capability to mimic the natural behaviors of biological synapses.

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