School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, Yuseong-gu, 34141, Republic of Korea.
Small. 2021 Dec;17(49):e2103775. doi: 10.1002/smll.202103775. Epub 2021 Oct 4.
A single transistor neuron (1T-neuron) is demonstrated by using a vertically protruded nanowire from an 8 in. silicon (Si) wafer. The 1T-neuron adopts a gate-all-around structure to completely surround the Si nanowire (Si-NW) to make a floating body and allow aggressive downscaling. The Si-NW is composed of an n drain at the top, n source at the bottom, and p-type floating body at the middle, which are self-aligned vertically. Thus, it occupies a small footprint area. The gate controls an excitatory/inhibitory function. In addition, myelination of a biological neuron that changes membrane capacitance is mimicked by an inherently asymmetric source/drain structure. Two spiking frequencies at the same input current are controlled by whether the neuron is myelinated or unmyelinated. Using the vertical 1T-neuron, pattern recognition is demonstrated with both measurements and semiempirical circuit simulations. Furthermore, handwritten numbers in the MNIST database are recognized with accuracy of 93% by software-based simulations. Applicability of the vertical 1T-neuron to various neural networks is verified, including a single-layer perceptron, multilayer perceptron, and spiking neural network.
一种单晶体管神经元(1T-神经元)是通过使用从 8 英寸硅(Si)晶圆垂直突出的纳米线来实现的。1T-神经元采用全环绕栅极结构,完全环绕 Si 纳米线(Si-NW)以形成浮置体,并允许进行激进的缩小。Si-NW 由顶部的 n 漏极、底部的 n 源极和中间的 p 型浮置体组成,它们垂直自对准。因此,它占用的面积很小。栅极控制兴奋/抑制功能。此外,通过固有的不对称源/漏极结构模拟了生物神经元的髓鞘化,这会改变膜电容。通过控制神经元是否髓鞘化或未髓鞘化,可以控制相同输入电流下的两种尖峰频率。使用垂直 1T-神经元,通过测量和半经验电路模拟进行了模式识别。此外,通过软件模拟,手写数字在 MNIST 数据库中的识别准确率达到 93%。验证了垂直 1T-神经元在各种神经网络中的适用性,包括单层感知器、多层感知器和尖峰神经网络。