KIP publications

 
year 2016
author(s) Mihai A. Petrovici*, Luziwei Leng*, Oliver Breitwieser*, David Stöckel*, Ilja Bytschok, Roman Martel, Johannes Bill, Johannes Schemmel, Karlheinz Meier
title Stochastic inference with spiking neural networks
KIP-Nummer HD-KIP 16-90
KIP-Gruppe(n) F9
document type Paper
source BMC Neuroscience 2016, 17(Suppl 1):P96
doi 10.1186/s12868-016-0283-6
Abstract (en)

Brains are adept at creating an impressively accurate internal model of their surrounding based on incomplete and noisy sensory data. Understanding this inferential prowess is not only interesting for neuroscience, but may also inspire computational architectures and algorithms for solving hard inference problems. Here, we give an overview of our work on probabilistic inference with brain-inspired spiking networks, their advantages compared to classical neural networks and their implementation in neuromorphic hardware.

bibtex
@inproceedings{petrovici2016stochastic,
  author   = {Mihai A. Petrovici, Luziwei Leng, Oliver Breitwieser, David St\"ockel, Ilja Bytschok, Roman Martel, Johannes Bill, Johannes Schemmel, Karlheinz Meier},
  title    = {Stochastic inference with spiking neural networks},
  booktitle = {},
  year     = {2016},
  volume   = {17},
  pages    = {P96}
}
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