Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA.
Nanotechnology. 2012 Jul 11;23(27):275202. doi: 10.1088/0957-4484/23/27/275202. Epub 2012 Jun 19.
A spiking neuron circuit based on a carbon nanotube (CNT) transistor is presented in this paper. The spiking neuron circuit has a crossbar architecture in which the transistor gates are connected to its row electrodes and the transistor sources are connected to its column electrodes. An electrochemical cell is incorporated in the gate of the transistor by sandwiching a hydrogen-doped poly(ethylene glycol)methyl ether (PEG) electrolyte between the CNT channel and the top gate electrode. An input spike applied to the gate triggers a dynamic drift of the hydrogen ions in the PEG electrolyte, resulting in a post-synaptic current (PSC) through the CNT channel. Spikes input into the rows trigger PSCs through multiple CNT transistors, and PSCs cumulate in the columns and integrate into a 'soma' circuit to trigger output spikes based on an integrate-and-fire mechanism. The spiking neuron circuit can potentially emulate biological neuron networks and their intelligent functions.
本文提出了一种基于碳纳米管（CNT）晶体管的尖峰神经元电路。该尖峰神经元电路采用交叉结构，其中晶体管栅极连接到行电极，晶体管源极连接到列电极。通过在 CNT 沟道和顶栅电极之间夹入掺氢聚乙二醇甲醚（PEG）电解质，在晶体管栅极中集成了一个电化学单元。施加到栅极的输入尖峰触发 PEG 电解质中氢离子的动态漂移，从而通过 CNT 沟道产生突触后电流（PSC）。输入到行的尖峰通过多个 CNT 晶体管触发 PSCs，而 PSCs 在列中累积并整合到“胞体”电路中，基于积分和触发输出尖峰。基于放电机制。该尖峰神经元电路可以潜在地模拟生物神经元网络及其智能功能。
