1 citations · 1 across the 4 of their papers we have counts for
4 papers
Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing
Stefan Fischer, Nihat Ay, Olaf Landsiedel +4
Physical implementations of neural computation now extend far beyond silicon hardware, encompassing substrates such as memristive devices, photonic circuits, mechanical metamateria…
CPN: A Control Plane for Heterogeneous Physical Neural Networks
Stefan Fischer, Maliheh Hariri, Sebastian Otte
Physical neural networks (PNNs) exploit diverse physical substrates---spanning molecular, wetware, and solid-state devices---to perform embodied neural computation close to physica…
Scalable Memristive-Friendly Reservoir Computing for Time Series Classification
Coşku Can Horuz, Andrea Ceni, Claudio Gallicchio +1
Memristive devices present a promising foundation for next-generation information processing by combining memory and computation within a single physical substrate. This unique cha…
Detection of Fast-Moving Objects with Neuromorphic Hardware
Andreas Ziegler, Karl Vetter, Thomas Gossard +3
Neuromorphic Computing (NC) and Spiking Neural Networks (SNNs) in particular are often viewed as the next generation of Neural Networks (NNs). NC is a novel bio-inspired paradigm f…