基于CMOS的浮栅MOSFET神经形态传感器电路设计

J. Singh, G. Kapur
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引用次数: 1

摘要

提出了一种基于浮门技术的电流传感器电路,模拟了人脑的峰值时间依赖性可塑性。细胞/神经元的细胞膜是由钠离子和钾离子组成的,细胞通过钠离子和钾离子来学习和适应新的环境。所提出的电路以电荷的形式在浮栅(FG)存储信息,并根据时间相关尖峰模拟了适应性/可塑性。尖峰是由细胞膜电容器的充电/放电电压产生的,而充电/放电电压又由钠和钾反馈电路控制。该电路已在45纳米CMOS技术上实现。它产生一个调制电压尖峰响应输入刺激控制电荷在FG。受生物物理神经元模型的启发,所提出的传感器电路已开发出具有亚阈值传导的mosfet,因此电路工作在nA级电流灵敏度。它的芯片面积非常小(245µm),功耗低(3.3nW),电源为1.1V。该电路非常适用于双分子领域的双分子检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of CMOS based Neuromorphic Sensor Circuit Using Floating Gate MOSFET
We presents an Amperometric sensor circuit based on Floating gate technology which emulate spike time dependent plasticity (STDP) of human brain. The cell/neuron membrane is composed of Na and K ions with which cell can learn and adapt in new environment. The proposed circuit stores information in the form of charge at the floating gate (FG) and adaptability/plasticity is simulated in terms of time dependent spikes. The spikes are generated as a cell membrane capacitor’s charging/discharging voltage which in turn, is controlled from sodium and potassium feedback circuits. The circuit have been implemented at 45nm CMOS technology. It generates a modulated voltage spike in response to input stimuli controlling charge at the FG. Inspired from bio-physical neuron model the proposed sensor circuit have been developed with sub-threshold conduction of MOSFETs and thus, circuit operates at nA level current sensitivity. It occupies very less chip area (245µm) and low power consumption (3.3nW) with 1.1V supply. The circuit is highly suitable in bimolecular fields for bimolecular detection.
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