神经形态工程学
计算机科学
信号处理
神经科学
嗅觉系统
信号(编程语言)
人工智能
人工神经网络
数字信号处理
心理学
计算机硬件
程序设计语言
作者
Mohammad-Hassan Tayarani-Najaran,Michael Schmuker
标识
DOI:10.3389/fncir.2021.610446
摘要
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.
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