School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, United Kingdom.
Front Neural Circuits. 2021 May 31;15:610446. doi: 10.3389/fncir.2021.610446. eCollection 2021.
The nervous systems converts the physical quantities sensed by its primary receptors into trains of events that are then processed in the brain. The unmatched efficiency in information processing has long inspired engineers to seek brain-like approaches to sensing and signal processing. The key principle pursued in neuromorphic sensing is to shed the traditional approach of periodic sampling in favor of an event-driven scheme that mimicks sampling as it occurs in the nervous system, where events are preferably emitted upon the change of the sensed stimulus. In this paper we highlight the advantages and challenges of event-based sensing and signal processing in the visual, auditory and olfactory domains. We also provide a survey of the literature covering neuromorphic sensing and signal processing in all three modalities. Our aim is to facilitate research in event-based sensing and signal processing by providing a comprehensive overview of the research performed previously as well as highlighting conceptual advantages, current progress and future challenges in the field.
神经系统将其主要受体感知到的物理量转换为一连串的事件,然后在大脑中进行处理。信息处理的无与伦比的效率长期以来一直激发着工程师们寻求类似大脑的方法来进行传感和信号处理。神经形态传感所追求的关键原则是摒弃传统的周期性采样方法,转而采用事件驱动的方案,这种方案模拟了神经系统中的采样方式,即最好在感知到的刺激发生变化时发出事件。在本文中,我们强调了基于事件的传感和信号处理在视觉、听觉和嗅觉领域的优势和挑战。我们还对涵盖所有三种模态的神经形态传感和信号处理的文献进行了调查。我们的目的是通过提供之前所做研究的全面概述,并突出该领域的概念优势、当前进展和未来挑战,来促进基于事件的传感和信号处理的研究。