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Related Experiment Video

Updated: Sep 2, 2025

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

Optrode Array for Simultaneous Optogenetic Modulation and Electrical Neural Recording

Published on: September 1, 2022

One-Phototransistor-One-Memristor Array with High-Linearity Light-Tunable Weight for Optic Neuromorphic Computing.

Bingjie Dang¹, Keqin Liu¹, Xulei Wu¹

¹Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing, 100871, China.

Advanced Materials (Deerfield Beach, Fla.)

|August 2, 2022

Summary

This study introduces a novel one-phototransistor-one-memristor (1PT1R) device for energy-efficient artificial vision systems. This optic memristor achieves high accuracy in image recognition tasks, overcoming limitations of current neuromorphic devices.

Keywords:

in-sensor computing memristors neuromorphic computing optic pattern recognition

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Last Updated: Sep 2, 2025

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Area of Science:

Optoelectronics
Artificial Intelligence
Materials Science

Background:

Optic neuromorphic devices are crucial for energy-efficient artificial vision systems.
Existing devices face challenges like nonlinear weight updates, cross-talk, and silicon incompatibility.

Purpose of the Study:

To experimentally demonstrate a novel one-phototransistor-one-memristor (1PT1R) device.
To implement and evaluate an optic artificial neural network (OANN) using the 1PT1R memristor for image recognition.

Main Methods:

Fabrication and characterization of a linear, light-tunable, cross-talk-free, silicon-compatible 1PT1R optic memristor.
Construction of a 16x3 1PT1R memristor array to form an OANN.
Training the OANN on an online platform for optic image recognition.

Main Results:

The 1PT1R memristor exhibits high linearity, light tunability, and cross-talk-free operation.
The OANN achieved a 99.3% accuracy in optic image recognition after only ten training epochs.
The device demonstrates excellent performance and compatibility with silicon processes.

Conclusions:

The developed 1PT1R optic memristor is a promising hardware solution for efficient optic neuromorphic computing.
This technology enables highly efficient artificial vision systems and edge computing applications.
The study overcomes key limitations of existing optic neuromorphic devices.