18 citations · 18 across the 6 of their papers we have counts for
6 papers
Differentiable Clone-Structured Causal Graphs for End-to-End Cognitive Map Learning from Image Sequences
Arash Nikzad, Sasan Sarbishegi, Ali Dasmeh +8
How can an agent build a structured map of its world from nothing but an ongoing sequence of raw sensory input and its own movements, especially when natural variation means exact…
Dynamic neural manifolds for flexible closed-loop control on neuromorphic hardware
Oskar von Seeler, Christian Tetzlaff, Andrew Lehr
In biological circuits, sequential neural activity evolves along dynamic, low-dimensional manifolds to enable flexible behavior. Spiking network models link aspects of this sequent…
Road to scalability for efficient graph search on massively parallel neuromorphic hardware
Oskar von Seeler, Elena C. Offenberg, Carlo Michaelis +4
Efficient computation of shortest paths in weighted graphs is a fundamental problem with many applications. Neuromorphic hardware platforms promise massively parallel, efficient co…
Adding numbers with spiking neural circuits on neuromorphic hardware: A building block for future hybrid systems
Oskar von Seeler, Elena C. Offenberg, Carlo Michaelis +3
Progress in neuromorphic computing requires efficient implementation of standard computational problems, like adding numbers. Here we implement a variety of sequential and parallel…
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…
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…