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A lightweight CMOS-based LIF circuit: modeling and spiking regulation
Quan Xu1, Yixuan Wang1, Changfeng Li2
1Wang Zheng School of Microelectronics, Changzhou University, Changzhou, 213159 China.
Abstract:
Lightweight spiking circuits are the hardware candidate for spike-based neuromorphic computing. This paper presents a lightweight CMOS-based LIF circuit and demonstrates its spiking activity and regulatory mechanisms. The LIF circuit involves only two P-MOS and three N-MOS devices, whose core functions are to implement integration, threshold detection, discharge, and reset. A mathematical model between the input current and output voltage is derived. Then, the functional characteristic between the spiking frequency and the input current intensity is analyzed. Cadence Virtuoso-based circuit simulations show that the circuit can accurately realize the dynamical behavior of the core functions. In addition, the LIF circuit demonstrates good robustness against temperature and process variations. The simulations also show that the total area of the LIF circuit is approximately [Formula: see text] and the energy consumption is approximately 0.096 pJ/spike under [Formula: see text] CMOS process. The LIF circuit can provide a potential approach to implementing compact and low-power spiking circuits in large-scale neuromorphic computing.
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