Drift compensation using bulk feedback in a neural recording system based on open-gate FET

Ashwin K. Vijayan, Sreejish Sreenivasan, D. Nair, M. Reddy
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Abstract

The shift from micro-electrode array based neural recording system to an open-gate FET based system, in which direct electrical interaction with a neuron in a nanostructure circuit offers significant advantages. However, the equivalent capacitance (Ceq) of the FET sensor undergoes a slow, monotonic change due to hydration of the insulator layers leading to a threshold voltage drift which ultimately manifest as a drift in the drain current. This paper presents a drift compensation technique for neural recording systems that use open-gate FET sensors by employing feedback to the bulk of the FET. The efficiency of this technique has been validated by simulating a sensor system with practical drift parameters. While the current drift without a feedback was found to be more than 5% of the drain current before hydration, the simulation results show that the current drift is less than 0.042% when there is an active feedback. In general, this technique is applicable to other systems that use open-gate FET based sensors such as the ISFETs.
基于开栅场效应管的神经记录系统的体积反馈漂移补偿
从基于微电极阵列的神经记录系统到基于开门场效应管的系统的转变提供了显著的优势,在这种系统中,与纳米结构电路中的神经元直接电相互作用。然而,由于绝缘层的水化作用,FET传感器的等效电容(Ceq)经历缓慢的单调变化,导致阈值电压漂移,最终表现为漏极电流的漂移。本文提出了一种利用对开栅场效应管传感器进行反馈的神经记录系统漂移补偿技术。通过对具有实际漂移参数的传感器系统进行仿真,验证了该方法的有效性。无反馈时的电流漂移大于水化前漏极电流的5%,而有主动反馈时的电流漂移小于0.042%。一般来说,这种技术适用于其他使用开栅场效应管传感器的系统,如isfet。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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