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Implementation of an integrated op-amp based chaotic neuron model and observation of its chaotic dynamics

机译:基于集成运算放大器的混沌神经元模型的实现及其混沌动力学的观察

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摘要

This paper presents a fully integrated circuit implementation of an operational amplifier (op-amp) based chaotic neuron model with a bipolar output function, experimental measurements, and analyses of its chaotic behavior. The proposed chaotic neuron model integrated circuit consists of several op-amps, sample and hold circuits, a nonlinear function block for chaotic signal generation, a clock generator, a nonlinear output function, etc. Based on the HSPICE (circuit program) simulation results, approximated empirical equations for analyses were formulated. Then, the chaotic dynamical responses such as bifurcation diagrams, time series, and Lyapunov exponent were calculated using these empirical equations. In addition, we performed simulations about two chaotic neuron systems with four synapses to confirm neural network connections and got normal behavior of the chaotic neuron such as internal state bifurcation diagram according to the synaptic weight variation. The proposed circuit was fabricated using a 0.8-pm single poly complementary metal-oxide semiconductor technology. Measurements of the fabricated single chaotic neuron with ±2.5 V power supplies and a 10 kHz sampling clock frequency were carried out and compared with the simulated results.
机译:本文介绍了具有双极输出功能的基于运算放大器(op-amp)的混沌神经元模型的完整集成电路实现,实验测量以及对其混沌行为的分析。拟议中的混沌神经元模型集成电路由几个运算放大器,采样和保持电路,用于生成混沌信号的非线性功能块,时钟发生器,非线性输出函数等组成。基于HSPICE(电路程序)仿真结果,制定了用于分析的近似经验方程。然后,使用这些经验方程式计算了分叉图,时间序列和李雅普诺夫指数等混沌动力响应。此外,我们对两个带有四个突触的混沌神经元系统进行了仿真,以确认神经网络连接,并根据突触权重变化获得了混沌神经元的正常行为,例如内部状态分叉图。所提出的电路是使用0.8-pm的单聚互补金属氧化物半导体技术制造的。使用±2.5 V电源和10 kHz采样时钟频率对所制造的单个混沌神经元进行了测量,并与仿真结果进行了比较。

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