An organic electrochemical neuron for a neuromorphic perception system

• 成果类型: Article
• 署名作者: Yao, Yao; Pankow, Robert M.; Huang, Wei; Wu, Cui; Gao, Lin; Cho, Yongjoon; Chen, Jianhua; Zhang, Dayong; Sharma, Sakshi; Liu, Xiaoxue; Wang, Yuyang; Peng, Bo; Chung, Sein; Cho, Kilwon; Fabiano, Simone; Ye, Zunzhong; Ping, Jianfeng; Marks, Tobin J.; Facchetti, Antonio
• 署名单位: Northwestern University; Northwestern University; Zhejiang University; University of Texas System; University of Texas El Paso; Yunnan University; University System of Georgia; Georgia Institute of Technology; Pohang University of Science & Technology (POSTECH); Linkoping University
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-12497
• DOI: 10.1073/pnas.2414879122
• 发表日期: 2025-01-14
• 关键词: low-voltage; FUTURE; device

摘要

Human perception systems are highly refined, relying on an adaptive, plastic, and event- driven network of sensory neurons. Drawing inspiration from Nature, neuromorphic perception systems hold tremendous potential for efficient multisensory signal processing in the physical world; however, the development of an efficient artificial neuron with a widely calibratable spiking range and reduced footprint remains chalcomplementary circuitry enabled by an advanced n- type polymer for balanced p- /n- type of producing spikes with a widely calibratable state- of- the art firing frequency range of 0.130 to 147.1 Hz. Leveraging this capability, we develop a neuromorphic perception artificial synapse for tactile perception. The system successfully encodes tactile stimulations into frequency- dependent spikes, which are further converted into postsynaptic responses. This bioinspired design demonstrates significant potential to advance cyborg and neuromorphic systems, providing them with perceptual capabilities.