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Evolutionary Bits'n'Spikes

机译:进化的比特钉

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摘要

We describe a model and implementation of evolutionary spiking neurons for embedded microcontrollers with few bytes of memory and very low power consumption. The approach is tested with an autonomous microrobot of less than 1 in~3 that evolves the ability to move in a small maze without human intervention and external computers. Considering the very large diffusion, small size, and low cost of embedded microcontrollers, the approach described here could find its way in several intelligent devices with sensors and/or actuators, as well as in smart credit cards.
机译:我们描述了一种嵌入式微控制器的进化尖峰神经元的模型和实现,该模型具有很少的内存字节和非常低的功耗。该方法在小于1 in〜3的自主微型机器人中进行了测试,该机器人具有在小型迷宫中移动的能力,而无需人工干预和外部计算机。考虑到嵌入式微控制器的巨大扩散,小尺寸和低成本,此处介绍的方法可以在具有传感器和/或执行器的几种智能设备以及智能信用卡中找到方法。

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