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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Biologically Switchable Volatility and Nonvolatility Toward Real Neurotransmitter Mediated Aqueous Reservoir
Zheng Li1, Qing-Qing Wu1, Yazhou Wang2
1State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China.
Advanced Materials (Deerfield Beach, Fla.)
|September 12, 2025
Summary
This study introduces a novel aqueous reservoir computing system using the neurotransmitter glutamate. This bio-inspired approach mimics brain function for potential in-body applications and advanced neuromorphic engineering.
Area of Science:
- Neuroscience
- Materials Science
- Computer Science
Background:
- Aqueous reservoir computing (RC) is an emerging field with significant challenges.
- Real biological receptors offer synaptic resemblance, promising closer emulation of the human brain in neuromorphic engineering.
Purpose of the Study:
- To explore biologically switchable volatility and nonvolatility in neurotransmitter-mediated aqueous RC.
- To develop and demonstrate a glutamate-mediated RC for image recognition.
Main Methods:
- Utilized glutamate oxidase catalytic chemistry and a porphyrin-based metal-organic framework/tungsten oxide (PCN-224/WO3) photogate.
- Employed an organic photoelectrochemical transistor for the RC application.
- Tested the system for image recognition tasks.
Main Results:
- Successfully demonstrated biologically switchable volatility and nonvolatility using glutamate.
- Developed a proof-of-concept glutamate-mediated RC system.
- Achieved image recognition capabilities with the developed system.
Conclusions:
- The findings advance real neurotransmitter-mediated aqueous RC toward in-biology applications.
- This work promotes bioinspired algorithm-hardware codesign in future neuromorphic engineering.
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