- About us
- Young GNS
- Activities
- Careers
- Meetings
|
Neuroforum 2025 Issue 1
 |
|
Göttingen Meeting 2025
 |
|
FENS
 |
Spiking neural networks: Applications to computing, algorithmics, and robotics
Spiking neural networks: Applications to computing, algorithmics, and robotics
3rd HPB Curriculum Workshop Series - ICT for non-specialists
Wed, 18/09/2019
City:
Country:
Contact
Scientific organizer:
Fabrice Morin, PhD, TU Munich
Contact address:
Human Brain Project Education Programme
Müllerstraße 59
6020 Innsbruck
Description:
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).
This workshop preceeds the 2019 IEEE International Conference on Cyborg and Bionic Systems.