记忆电阻器
尖峰神经网络
接口
莫特绝缘子
材料科学
爆裂
神经元
纳米技术
离子
神经形态工程学
生物系统
计算机科学
生物物理学
人工神经网络
神经科学
物理
人工智能
生物
计算机硬件
量子力学
作者
Huihui Ren,Fanfan Li,Min Wang,Guolei Liu,Dingwei Li,Rui Wang,Yitong Chen,Yingjie Tang,Yan Wang,Jin Ran,Qi Huang,Lixiang Xing,Xiaopeng Chen,Juan Wang,Chengchen Guo,Bowen Zhu
标识
DOI:10.1002/adma.202403678
摘要
Abstract Artificial spiking neurons capable of interpreting ionic information into electrical spikes are critical to mimic biological signaling systems. Mott memristors are attractive for constructing artificial spiking neurons due to their simple structure, low energy consumption, and rich neural dynamics. However, challenges remain in achieving ion‐mediated spiking and biohybrid‐interfacing in Mott neurons. Here, a biomimetic spiking chemical neuron (SCN) utilizing an NbO x Mott memristor and oxide field‐effect transistor‐type chemical sensor is introduced. The SCN exhibits both excitation and inhibition spiking behaviors toward ionic concentrations akin to biological neural systems. It demonstrates spiking responses across physiological and pathological Na + concentrations (1–200 × 10 −3 m ). The Na + ‐mediated SCN enables both frequency encoding and time‐to‐first‐spike coding schemes, illustrating the rich neural dynamics of Mott neuron. In addition, the SCN interfaced with L929 cells facilitates real‐time modulation of ion‐mediated spiking under both normal and salty cellular microenvironments.
科研通智能强力驱动
Strongly Powered by AbleSci AI