KIP publications

 
year 2017
author(s) Mihai A. Petrovici*, Anna Schroeder*, Oliver Breitwieser, Andreas Grübl, Johannes Schemmel, Karlheinz Meier
title Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware
KIP-Nummer HD-KIP 17-20
KIP-Gruppe(n) F9
document type Paper
source Proceedings of the 2017 IEEE International Joint Conference on Neural Networks
doi 10.1109/IJCNN.2017.7966123
Abstract (en)

How spiking networks are able to perform probabilistic inference is an intriguing question, not only for understanding information processing in the brain, but also for transferring these computational principles to neuromorphic silicon circuits. A number of computationally powerful spiking network models have been proposed, but most of them have only been tested, under ideal conditions, in software simulations. Any implementation in an analog, physical system, be it in vivo or in silico, will generally lead to distorted dynamics due to the physical properties of the underlying substrate. In this paper, we discuss several such distortive effects that are difficult or impossible to remove by classical calibration routines or parameter training. We then argue that hierarchical networks of leaky integrate-and-fire neurons can offer the required robustness for physical implementation and demonstrate this with both software simulations and emulation on an accelerated analog neuromorphic device.

bibtex
@article{petrovici2017robustness,
  author   = {Mihai A. Petrovici, Anna Schroeder, Oliver Breitwieser, Andreas Gr\"ubl, Johannes Schemmel, Karlheinz Meier},
  title    = {Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware},
  journal  = {Proceedings of the 2017 IEEE International Joint Conference on Neural Networks},
  year     = {2017},
  volume   = {},
  pages    = {},
  doi      = {10.1109/IJCNN.2017.7966123},
  url      = {http://ieeexplore.ieee.org/document/7966123/}
}
Sample Image
URL arXiv link
URL IEEE Xplore
up
KIP - Bibliothek
Im Neuenheimer Feld 227
Raum 3.402
69120 Heidelberg