Reticular Photoelectrochemical Transistor with Biochemical Metaplasticity

Area of Science:

• Neuromorphic Engineering
• Materials Science
• Biochemistry

Background:

• Synaptic metaplasticity is crucial for neuromorphic computing but challenging to replicate in solid-state devices, especially in aqueous biological systems.
• Existing solid-state approaches often exhibit high-voltage dynamics inconsistent with biological environments.

Purpose of the Study:

• To propose and devise a novel device, the reticular photoelectrochemical transistor (RPECT), capable of achieving metaplasticity with biochemical modulation.
• To bridge the gap between solid-state neuromorphic devices and biological systems operating in aqueous media.

Main Methods:

• Utilized the ambipolar behavior of a metal-organic framework channel.
• Employed a photosensitive hydrogen-bonded organic framework electrode for gating.
• Investigated biochemically modulated photoconductivity and metaplasticity characteristics.

Main Results:

• Achieved biochemically modulated positive and negative photoconductivity.
• Demonstrated metaplasticity with characteristic features like nonmonotonic enhanced depression and threshold sliding.
• Successfully implemented in-sensor preprocessing and in-memory computing for image recognition.

Conclusions:

• The RPECT device successfully realizes aqueous metaplasticity with biochemical modulation.
• Introduced biochemical modulation into image recognition tasks, paving the way for advanced machine vision.
• Provides a new platform for developing bio-inspired neuromorphic computing systems.