Bio-Inspired P-type TeSeO_x Synaptic Transistor Based on Multispectral Sensing for Neuromorphic Visual Multilevel...

Area of Science:

• Neuroscience
• Materials Science
• Artificial Intelligence

Background:

• Neuromorphic engineering aims to replicate biological visual systems for energy-efficient AI.
• Current systems lack advanced color perception and dynamic adaptability.
• Synaptic devices are key for mimicking neural processing.

Purpose of the Study:

• To develop a multispectral color sensing synaptic device.
• To apply this device to a neuromorphic visual nociceptor.
• To emulate synaptic functions and pain perception using light stimuli.

Main Methods:

• Fabrication of a p-type TeSeOx transistor.
• Utilizing TeSeOx's narrow bandgap for multi-wavelength response (405, 532, 655 nm).
• Leveraging persistent photoconductivity for optical-to-electrical signal conversion and synaptic emulation.

Main Results:

• The device successfully emulates synaptic characteristics like EPSC, facilitation, and memory transitions.
• Demonstrated learning, forgetting, and relearning behaviors, plus image memory.
• Realized fundamental nociceptor functions and achieved multilevel pain perception using tricolor light.

Conclusions:

• The TeSeOx-based synaptic device offers a novel approach to neuromorphic color vision.
• This technology shows potential for advanced machine vision, autonomous driving, and intelligent alert systems.
• The device successfully bridges color sensing, synaptic emulation, and nociception.