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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
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Mimicking Neurotransmitter Activity and Realizing Algebraic Arithmetic on Flexible Protein-Gated Oxide Neuromorphic
Zhi Yuan Li1,2,3, Li Qiang Zhu1,3, Li Qiang Guo2
1School of Physical Science and Technology, Ningbo University, Ningbo, Zhejiang 315211, People's Republic of China.
ACS Applied Materials & Interfaces
|February 3, 2021
Summary
Researchers developed a flexible, albumen-based neuromorphic transistor that mimics brain functions. This device performs complex arithmetic operations and shows robust synaptic plasticity, paving the way for advanced wearable cognitive systems.
Area of Science:
- Materials Science
- Neuroscience
- Electronics
Background:
- Flexible neuromorphic devices are crucial for advanced cognitive systems.
- Wearable platforms require devices with data processing and arithmetic capabilities.
- Protein-based materials offer unique properties for bio-inspired electronics.
Purpose of the Study:
- To propose and demonstrate an albumen-based protein-gated flexible indium tin oxide (ITO) ionotronic neuromorphic transistor.
- To investigate the mechanical robustness and synaptic plasticity of the device under bending stress.
- To emulate biological neurotransmission and implement arithmetic operations on a flexible neuromorphic platform.
Main Methods:
- Fabrication of an albumen-based protein-gated ITO ionotronic neuromorphic transistor.
- Mechanical testing to evaluate robustness against bending stress.
- Electrophysiological characterization to study synaptic plasticity and neurotransmission emulation.
- Implementation of algebraic arithmetic operations (addition, subtraction, multiplication, division).
Main Results:
- The transistor exhibited excellent mechanical robustness under bending stress.
- Synaptic plasticity behaviors (spike-duration and spike-amplitude dependent) remained unaffected by bending.
- Emulation of biological neurotransmitter release (quantal, stochastic, excitatory/inhibitory) and spike-timing-dependent plasticity.
- Successful implementation of all four basic algebraic arithmetic operations on the protein-gated device.
Conclusions:
- The developed protein-gated flexible neuromorphic transistor demonstrates high mechanical robustness and advanced cognitive functionalities.
- This work presents a novel approach for creating wearable "green" cognitive platforms.
- Potential applications include intelligent robots and advanced neuroprosthetics.
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