5 papers
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…
Multi-timescale synaptic plasticity on analog neuromorphic hardware
Amani Atoui, Jakob Kaiser, Sebastian Billaudelle +5
As numerical simulations grow in complexity, their demands on computing time and energy increase. Accelerators for numerical computation offer significant efficiency gains in many…
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…
Plastic Arbor: a modern simulation framework for synaptic plasticity -- from single synapses to networks of morphological neurons
Jannik Luboeinski, Sebastian Schmitt, Shirin Shafiee +3
Arbor is a software library designed for efficient simulation of large-scale networks of biological neurons with detailed morphological structures. It combines customizable neurona…