论文标题
我们是否比大脑更了解计算机的操作原理？
Do we know the operating principles of our computers better than those of our brain?
论文作者
论文摘要
人们对了解生物神经网络的行为的兴趣日益增加，以及在不同领域和尺度中人工神经网络的利用日益增加，都需要对神经形态计算的工作原理有深入的了解。一方面，需要对那些类似人造神经元的元素进行编程，另一方面，需要仔细检查大量此类元素进行合作，交流和计算的必要性，以确定如何有效地进行常规计算可以帮助实施此类系统。某些电子组件与某些生物结构具有令人惊讶的相似之处。但是，将它们与使用不同原理工作的组件相结合可能会导致功效非常差的系统。本文讨论了如何模仿生物系统的传统原理，组成部分和思考如何模仿生物系统。我们描述了计算范式中需要哪些变化，以更接近生物神经网络的出色操作。
The increasing interest in understanding the behavior of the biological neural networks, and the increasing utilization of artificial neural networks in different fields and scales, both require a thorough understanding of how neuromorphic computing works. On the one side, the need to program those artificial neuron-like elements, and, on the other side, the necessity for a large number of such elements to cooperate, communicate and compute during tasks, need to be scrutinized to determine how efficiently conventional computing can assist in implementing such systems. Some electronic components bear a surprising resemblance to some biological structures. However, combining them with components that work using different principles can result in systems with very poor efficacy. The paper discusses how the conventional principles, components and thinking about computing limit mimicking the biological systems. We describe what changes will be necessary in the computing paradigms to get closer to the marvelously efficient operation of biological neural networks.
