Spiking neural networks: Applications to computing, algorithmics, and robotics
Technical University of Munich, Germany
Spiking neural networks (SNN) are a special class of artificial neural networks (ANN), in which the information is transmitted by means of pulses (or spikes) rather than by firing rates. As SNNs have shown to be excellent control systems for biological organisms, they have the potential to produce good control systems for autonomous robots. This workshop aims to bring together neuroscientists with roboticists and computational researchers developing biologically-inspired learning algorithms for scientific and industrial applications.
In order to enrich the discussions of SNN and its applications to computing, algorithmics and robotics, we will have a hands-on session on spiking neural networks on the Neurorobotics Platform (HBP SP10).
The programme will combine lectures in the morning and hands-on sessions in the afternoon. The sessions will finish around 3:30 p.m. to allow participants to also attend the IEEE International Conference on Cyborg and Bionic Systems.