One of the most interesting and still growing scientific fields is neuromorphic engineering, which is focused on studying and designing hardware and software with the purpose of mimicking the basic principles of biological nervous systems. Currently, there are many research groups developing practical applications based on neuroscientific knowledge. This work provides researchers with a novel toolkit of building blocks based on Spiking Neural Networks that emulate the behavior of different logic gates. These could be very useful in many spike-based applications, since logic gates are the basis of digital circuits. The designs and models proposed are presented and implemented on a SpiNNaker hardware platform. Different experiments were performed in order to validate the expected behavior, and the obtained results are discussed. The functionality of traditional logic gates and the proposed blocks is studied, and the feasibility of the presented approach is discussed.
翻译:最有趣和仍在不断增长的科学领域之一是神经形态工程,其重点是研究和设计硬件和软件,以模仿生物神经系统的基本原则;目前,有许多研究团体在神经科学知识的基础上开发实用应用;这项工作为研究人员提供了一套基于Spiking神经网络的新颖的构件工具包,这些构件可以效仿不同逻辑门的行为;这些对许多以钉钉钉为基础的应用可能非常有用,因为逻辑门是数字电路的基础;所提出的设计和模型是在SpinNAker硬件平台上提出和执行的;进行了不同的实验,以验证预期的行为,并讨论了获得的结果;研究了传统的逻辑门和拟议构件的功能,并讨论了提出的方法的可行性。