no code implementations • 29 Aug 2023 • Julian Göltz, Sebastian Billaudelle, Laura Kriener, Luca Blessing, Christian Pehle, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
Recent efforts have fostered significant progress towards deep learning in spiking networks, both theoretical and in silico.
no code implementations • 13 Feb 2023 • Christian Pehle, Luca Blessing, Elias Arnold, Eric Müller, Johannes Schemmel
Building on this work has the potential to enable scalable gradient estimation in large-scale neuromorphic hardware as a continuous measurement of the system state would be prohibitive and energy-inefficient in such instances.
no code implementations • 23 Dec 2022 • Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel
Neuromorphic systems require user-friendly software to support the design and optimization of experiments.
