Stochastic Computing for Neuromorphic Applications

Jörg Henkel

Abstract: fig orientation="portrait" position="float" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <graphic orientation="portrait" position="float" xlink:href="henke-3126288.tif"/> </fig> The rise of domain-specific architectures motivated this special issue guest-edited by Ilia Polian, John P. Hayes, Vincent T. Lee, and Weikang Qian. This issue deals with hardware realization of neural networks that are based on the stochastic computing paradigm. Thanks to the guest editors who brought us an extended editorial that contains a short survey of the field as an introduction to the special issue. In addition, there is a keynote by Brian Gaines titled “A Conceptual Framework for Stochastic Neuromorphic Computing” as well as six technical articles.