记忆计算机的类脑特性
Brain-like features of MemComputing machines
AI总结：
本文探讨了记忆计算机与生物大脑的类比，旨在启发计算机设计并推动神经科学研究。
摘要：
记忆计算是一种新的计算模型，利用任何物理系统非平衡性质——称为‘记忆’——来响应外部扰动，通过记录其过去反应来保持跟踪。其数字、可扩展版本将有限符号串映射为有限符号串。在本文中，我将讨论记忆计算机——特别是数字计算机——的操作与生物大脑某些物理特性之间的类比。这些类比可能成为改进这些机器设计的灵感来源。反过来，它们也可能为（计算）神经科学开辟新的研究方向。
英文摘要：
MemComputing is a new model of computation that exploits the non-equilibrium property-we call 'memory'-of any physical system to respond to external perturbations by keeping track of how it has reacted at previous times. Its digital, scalable version maps a finite string of symbols into a finite string of symbols. In this paper, I will discuss some analogies of the operation of MemComputing machines-in general, and digital in particular-with a few physical properties of the biological brain. These analogies could be a source of inspiration to improve on the design of these machines. In turn, they could suggest new directions of study in (computational) neuroscience.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
