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Spiking Neural P Systems for Arithmetic Operations

机译:用于算术运算的神经P系统

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摘要

Recently, Guti´errez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices -- spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes.
机译:最近,Guti'errez-Naranjo和Leporati考虑在一类新的BioinSpired计算设备上执行基本算术运算 - 尖峰神经P系统(短,SN P系统)。然而,在他们的研究中使用的二进制编码机制看起来像电子电路中的编码方法,而不是尖刺神经元的风格(在通常的SN P系统中,信息被编码为尖峰之间的时间间隔)。在这项工作中,三个SN P系统分别构造为加法器,减法器和乘法器。在这些设备中,将数字输入到系统,因为输入神经元接收的两个尖峰之间经过的时间间隔,计算结果是输出神经元尖峰时的时刻之间的时间。

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