7 citations · 10 across the 3 of their papers we have counts for
4 papers
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…
A synapse-centric account of the free energy principle
David Kappel, Christian Tetzlaff
The free energy principle (FEP) is a mathematical framework that describes how biological systems self-organize and survive in their environment. This principle provides insights o…
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…
Transfer entropy-based feedback improves performance in artificial neural networks
Sebastian Herzog, Christian Tetzlaff, Florentin Wörgötter
The structure of the majority of modern deep neural networks is characterized by uni- directional feed-forward connectivity across a very large number of layers. By contrast, the a…