Publication Type
Conference Paper
Book Title
ICONS 2020: International Conference on Neuromorphic Systems 2020
Publication Date
Page Numbers
1 to 5
Conference Name
International Conference on Neuromorphic Systems (ICONS)
Conference Location
Oak Ridge, Tennessee, United States of America
Conference Sponsor
ACM
Conference Date
-
Abstract
Spiking neural networks (SNNs) offer tremendous potential for the future of AI, including the ability to be implemented efficiently on neuromorphic systems. One of the challenges in building functioning SNNs is the training process, as standard error back-propagation cannot be easily applied. In this work, we extend an evolutionary approach for training SNNs by implementing an indirect encoding of individuals. Specifically, we evolve SNNs using Compositional Pattern Producing Networks, which are able to learn the connectivity patterns between neurons defined in a coordinate space. We validate the approach on multiple control and classification tasks.