Biodegradable Oxide Neuromorphic Transistors for Neuromorphic Computing and Anxiety Disorder Emulation

Area of Science:

• Materials Science
• Neuroscience
• Electronics Engineering

Background:

• Neuromorphic computing aims to mimic the brain's structure and function for efficient computation.
• Portable intelligent electronics require advanced materials and device architectures.
• Indium tin oxide (ITO) is a transparent conductive oxide with potential for electronic applications.

Purpose of the Study:

• To fabricate and characterize nanocellulose-gated ITO neuromorphic transistors.
• To evaluate the device's ability to emulate short-term synaptic plasticity and complex behaviors.
• To assess the potential of these devices for artificial intelligence and biomedical applications.

Main Methods:

• Fabrication of nanocellulose-gated indium tin oxide transistors.
• Characterization of device electrical performance and synaptic plasticity emulation.
• Implementation of a two-layer multilayer perceptron for pattern recognition (MNIST database).
• Conceptual emulation of anxiety disorder behavior using interfacial protonic coupling.

Main Results:

• The fabricated devices demonstrated good electrical performance.
• Successful emulation of short-term synaptic plasticities: excitatory postsynaptic current, paired-pulse facilitation, and dynamic high-pass synaptic filtering.
• Achieved ~92.93% recognition accuracy on the MNIST database using a linear synaptic weight updating strategy.
• Demonstrated emulation of anxiety disorder behaviors including "neurosensitization" and "fear-adrenaline secretion-exacerbated fear" through interfacial protonic coupling.
• The transistors exhibited water-dissolvable properties, indicating potential for green electronics.

Conclusions:

• Nanocellulose-gated ITO neuromorphic transistors show promise for mimicking synaptic functions and complex neural behaviors.
• The devices offer high accuracy in pattern recognition tasks, suitable for artificial intelligence.
• The biocompatible and biodegradable nature of the transistors opens avenues for implantable devices in neural prostheses and brain-machine interfaces.
• These findings highlight the potential of oxide-based neuromorphic devices for next-generation green electronics and neuro-diagnostics.