24 April 2024 | Yao Ni, Jiaqi Liu, Hong Han, Qianbo Yu, Lu Yang, Zhipeng Xu, Chengpeng Jiang, Lu Liu, Wentao Xu
The paper presents a pioneering design and production of an electrochromic neuromorphic transistor (ENT) that employs color updates to represent synaptic weight for in-sensor computing. The ENT is engineered to adaptively regulate ion doping through an ion-exchange membrane, enabling precise control over color-coded synaptic weight. This device enhances electrochromatic capabilities and establishes a visualized pattern-recognition network. By integrating the ENT with an artificial whisker, the researchers simulate a bionic reflex system inspired by the longicorn beetle, achieving real-time visualization of signal flow within the reflex arc in response to environmental stimuli. The ENT's ability to visualize synaptic weight changes and its rapid reset time make it suitable for high-fidelity processing tasks, enhancing the accuracy and efficiency of in-sensor computing. The study holds promise in extending biomimetic coding paradigms and advancing the development of bio-hybrid interfaces, particularly in incorporating color-based expressions.The paper presents a pioneering design and production of an electrochromic neuromorphic transistor (ENT) that employs color updates to represent synaptic weight for in-sensor computing. The ENT is engineered to adaptively regulate ion doping through an ion-exchange membrane, enabling precise control over color-coded synaptic weight. This device enhances electrochromatic capabilities and establishes a visualized pattern-recognition network. By integrating the ENT with an artificial whisker, the researchers simulate a bionic reflex system inspired by the longicorn beetle, achieving real-time visualization of signal flow within the reflex arc in response to environmental stimuli. The ENT's ability to visualize synaptic weight changes and its rapid reset time make it suitable for high-fidelity processing tasks, enhancing the accuracy and efficiency of in-sensor computing. The study holds promise in extending biomimetic coding paradigms and advancing the development of bio-hybrid interfaces, particularly in incorporating color-based expressions.