论文标题
RISP的案例：减少的指令尖峰处理器
The Case for RISP: A Reduced Instruction Spiking Processor
论文作者
论文摘要
在本文中，我们介绍了RISP，这是一种减少的指令尖峰处理器。虽然大多数尖刺的神经处理器都是基于大脑或大脑的概念，但我们介绍了简化而不是复杂的尖峰处理器的案例。因此，它具有离散的集成周期，可配置的泄漏等。我们介绍了RISP的计算模型，并突出了其简单性的好处。我们展示了它如何帮助开发用于简单计算任务的手构建的神经网络，并详细介绍如何使用它来简化使用更复杂的机器学习技术构建的神经网络，并演示其与其他尖峰神经过程相似的性能。
In this paper, we introduce RISP, a reduced instruction spiking processor. While most spiking neuroprocessors are based on the brain, or notions from the brain, we present the case for a spiking processor that simplifies rather than complicates. As such, it features discrete integration cycles, configurable leak, and little else. We present the computing model of RISP and highlight the benefits of its simplicity. We demonstrate how it aids in developing hand built neural networks for simple computational tasks, detail how it may be employed to simplify neural networks built with more complicated machine learning techniques, and demonstrate how it performs similarly to other spiking neurprocessors.
