Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops

Abstract

Development of deep neural networks benefits from new approaches and perspectives. Stelzer et al. propose to fold a deep neural network of arbitrary size into a single neuron with multiple time-delayed feedback loops which is also of relevance for new hardware implementations and applications.