publication . Conference object . 2014

Neural Networks as Sources of uncorrelated Noise for functional neural Systems

Jordan, Jakob; Petrovici, Mihai; Pfeil, Thomas; Breitwieser, Oliver; Bytschok, Ilya; Bill, Johannes; Gruebl, Andreas; Schemmel, Johannes; Meier, Karlheinz; Diesmann, Markus; ...
Closed Access English
  • Published: 01 Jan 2014
  • Country: Germany
Abstract
Neural-network models of brain function often rely on the presence of noise [1,2]. Yet thebiological origin of this noise remains unclear. In computer simulations and in neuromorphichardware [3,4], the number of noise sources (random-number generators) is limited. In conse-quence, neurons in large functional network models have to share noise sources and are thereforecorrelated. It is largely unclear how shared-noise correlation affect the performance of func-tional network models. Further, so far there is no solution to the problem of how a limitednumber of noise sources can supply a large number of functional units with uncorrelated noise.Here, we first demons...
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Funded by
EC| BRAINSCALES
Project
BRAINSCALES
Brain-inspired multiscale computation in neuromorphic hybrid systems
  • Funder: European Commission (EC)
  • Project Code: 269921
  • Funding stream: FP7 | SP1 | ICT
,
EC| HBP
Project
HBP
The Human Brain Project
  • Funder: European Commission (EC)
  • Project Code: 604102
  • Funding stream: FP7 | SP1 | ICT
Communities
FET FP7FET Proactive: FET proactive 8: Brain Inspired ICT
FET FP7FET Proactive: Brain-inspired multiscale computation in neuromorphic hybrid systems
FET FP7FET Flagships: FET Flagships
FET FP7FET Flagships: The Human Brain Project
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publication . Conference object . 2014

Neural Networks as Sources of uncorrelated Noise for functional neural Systems

Jordan, Jakob; Petrovici, Mihai; Pfeil, Thomas; Breitwieser, Oliver; Bytschok, Ilya; Bill, Johannes; Gruebl, Andreas; Schemmel, Johannes; Meier, Karlheinz; Diesmann, Markus; ...