神经形态工程学
可扩展性
计算机科学
晶体管
纳米技术
材料科学
电压
人工神经网络
电气工程
人工智能
工程类
数据库
作者
Junpeng Ji,Dace Gao,Hanyan Wu,Miao Xiong,Nevena Stajković,Claudia Latte Bovio,Chi‐Yuan Yang,Francesca Santoro,Deyu Tu,Simone Fabiano
标识
DOI:10.1038/s41467-025-59587-4
摘要
Abstract Neuromorphic devices that mimic the energy-efficient sensing and processing capabilities of biological neurons hold significant promise for developing bioelectronic systems capable of precise sensing and adaptive stimulus-response. However, current silicon-based technologies lack biocompatibility and rely on operational principles that differ from those of biological neurons. Organic electrochemical neurons (OECNs) address these shortcomings but typically require multiple components, limiting their integration density and scalability. Here, we report a single-transistor OECN (1T–OECN) that leverages the hysteretic switching of organic electrochemical memtransistors (OECmTs) based on poly(benzimidazobenzophenanthroline). By tuning the electrolyte and driving voltage, the OECmTs switch between high- and low-resistance states, enabling action potential generation, dynamic spiking, and logic operations within a single device with dimensions comparable to biological neurons. The compact 1T–OECN design (~180 µm 2 footprint) supports high–density integration, achieving over 62,500 neurons/cm 2 on flexible substrates. This advancement highlights the potential for scalable, bio-inspired neuromorphic computing and seamless integration with biological systems.
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