1 citations · 1 across the 5 of their papers we have counts for
6 papers
Rewiring of adult neural networks - learning from structural plasticity across multiple scales
Michael Fauth, Han Lu, Jannik Luboeinski +36
Synaptic connections are continuously formed and eliminated even in adult neuronal networks. This process - called structural plasticity - allows networks to change their topology…
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…
Skewed Neuronal Heterogeneity Enhances Efficiency On Various Computing Systems
Arash Golmohammadi, Jannik Luboeinski, Christian Tetzlaff
Heterogeneity is a ubiquitous property of many biological systems and has profound implications for computation. While it is conceivable to optimize neuronal and synaptic heterogen…
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…
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…