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Visualized In-Sensor Computing

Engineering and Technology

Visualized In-Sensor Computing

Y. Ni, J. Liu, et al.

This groundbreaking research presents the design of an electrochromic neuromorphic transistor (ENT), capable of visually representing synaptic weights through color updates. By merging technology with biomimetic principles, this ENT, integrated with an artificial whisker, creates a unique bionic reflex system that visually simulates signal responses to stimuli. This work was conducted by Yao Ni, Jiaqi Liu, Hong Han, Qianbo Yu, Lu Yang, Zhipeng Xu, Chengpeng Jiang, Lu Liu, and Wentao Xu.

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Playback language: English
Abstract
This paper introduces the design and production of an electrochromic neuromorphic transistor (ENT) that uses color updates to represent synaptic weight for in-sensor computing. The ENT utilizes an ion-exchange membrane to precisely control color-coded synaptic weight, enabling a visualized pattern-recognition network. Integrated with an artificial whisker, the ENT simulates a bionic reflex system, visualizing signal flow in response to stimuli. This research advances biomimetic coding and bio-hybrid interfaces.
Publisher
Nature Communications
Published On
Apr 24, 2024
Authors
Yao Ni, Jiaqi Liu, Hong Han, Qianbo Yu, Lu Yang, Zhipeng Xu, Chengpeng Jiang, Lu Liu, Wentao Xu
Tags
electrochromic
neuromorphic transistor
biomimetic coding
visual pattern recognition
bionic reflex system
in-sensor computing
color-coded synaptic weight

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