2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.NE2021
Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian
Carlo Michaelis, Andrew B. Lehr, Winfried Oed +1
Developing intelligent neuromorphic solutions remains a challenging endeavour. It requires a solid conceptual understanding of the hardware's fundamental building blocks. Beyond th…
cs.NE2020★ 2 cited
PeleNet: A Reservoir Computing Framework for Loihi
Carlo Michaelis
High-level frameworks for spiking neural networks are a key factor for fast prototyping and efficient development of complex algorithms. Such frameworks have emerged in the last ye…
cs.NE2020
Robust trajectory generation for robotic control on the neuromorphic research chip Loihi
Carlo Michaelis, Andrew B. Lehr, Christian Tetzlaff
Neuromorphic hardware has several promising advantages compared to von Neumann architectures and is highly interesting for robot control. However, despite the high speed and energy…