Guest Editors’ Introduction: Stochastic Computing for Neuromorphic Applications

Editor’s notes: This extended editorial provides an introduction into stochastic computing (SC) and its usage in emerging neuromorphic applications. It covers SC primitives and the tradeoffs that occur when designing larger SC-based systems. The article shows how SC enables low-cost, low-power, and error-tolerant hardware implementation of neural networks suitable for edge computing. It provides a brief survey about recent proposals in this domain and introduces the articles in this special issue. —Jörg Henkel, Karlsruhe Institute of Technology