Organizers
- Sander Bohté, CWI Amsterdam
- Sebastian Otte, University of Lübeck
Abstract
The special session invites contributions on recent advances in spiking neural networks.
Spiking neural networks have gained substantial attention recently as a candidate for low
latency and low power AI substrate, with implementations being explored in neuromorphic
hardware. This special session aims to bring together practitioners interested in efficient
learning algorithms, data representations, and applications.
List of Topics Covered in the Special Session
- Spiking Neural Network Models
- Temporal Codes
- Learning Algorithms for SNNs
- Neuromorphic Computing