Emulation of Biological Cells

Jerry Jacob, Nitish D. Patel, Sucheta Sehgal
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Abstract

An action potential (AP) is an alteration in the membrane potential of an excitable cell. It occurs due to the size, shape, and type of cell excited. In literature, various differential equation (DE) based mathematical models have been proposed to emulate APs. More recently, a Fourier Series (FS) based technique has been proposed. This paper discusses the methodology to identify the parameters of the FS model for eventual implementation on an FPGA. Four DE models have been investigated. Two implementation techniques - direct digital synthesis (DDS) and double integrator based resonant model (RM) - have been compared in terms of FPGA resource usage. Our observations show that the FS model is an attractive alternative to the DE models. The FS implemented using the RM technique offers good accuracy with ease of FPGA implementation. The FS model has the potential for real-time tissues level emulation on an FPGA.
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生物细胞模拟
动作电位(AP)是可兴奋细胞膜电位的改变。它的发生是由细胞的大小、形状和类型所决定的。在文献中,已经提出了各种基于微分方程(DE)的数学模型来模拟ap。最近,一种基于傅立叶级数(FS)的技术被提出。本文讨论了确定最终在FPGA上实现的FS模型参数的方法。研究了四种DE模型。两种实现技术-直接数字合成(DDS)和基于双积分器的谐振模型(RM) -在FPGA资源使用方面进行了比较。我们的观察表明,FS模型是一个有吸引力的替代DE模型。使用RM技术实现的FS具有良好的精度,易于FPGA实现。该模型具有在FPGA上实现实时组织级仿真的潜力。
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