Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware

Petrovici, Mihai Alexandru; Schroeder, Anna; Breitwieser, Oliver; Grubl, Andreas; Schemmel, Johannes; Meier, Karlheinz (2017). Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. In: 2017 International Joint Conference on Neural Networks (IJCNN) (pp. 2209-2216). IEEE 10.1109/IJCNN.2017.7966123

[img] Text
Petrovici2017Proceedingsof_1.pdf - Accepted Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (853kB)

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Physiology

UniBE Contributor:

Petrovici, Mihai Alexandru

Subjects:

600 Technology > 610 Medicine & health

ISBN:

978-1-5090-6182-2

Publisher:

IEEE

Language:

English

Submitter:

Stefan von Känel-Zimmermann

Date Deposited:

22 Nov 2017 14:23

Last Modified:

05 Dec 2022 15:07

Publisher DOI:

10.1109/IJCNN.2017.7966123

BORIS DOI:

10.7892/boris.106496

URI:

https://boris.unibe.ch/id/eprint/106496

Actions (login required)

Edit item Edit item
Provide Feedback