A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems

@article{Brderle2011ACW,
  title={A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems},
  author={Daniel Br{\"u}derle and Mihai A. Petrovici and Bernhard Vogginger and Matthias Ehrlich and Thomas Pfeil and Sebastian Millner and Andreas Gr{\"u}bl and Karsten Wendt and Eric M{\"u}ller and Marc-Olivier Schwartz and Dan Husmann de Oliveira and Sebastian Jeltsch and Johannes Fieres and Moritz Schilling and Paul M{\"u}ller and Oliver Breitwieser and Venelin Petkov and Lyle Muller and Andrew P. Davison and Pradeep Krishnamurthy and Jens Kremkow and Mikael Lundqvist and Eilif M{\"u}ller and Johannes Partzsch and Stefan Scholze and Lukas Z{\"u}hl and Christian Mayr and Alain Destexhe and Markus Diesmann and Tobias C. Potjans and Anders Lansner and Ren{\'e} Sch{\"u}ffny and Johannes Schemmel and Karlheinz Meier},
  journal={Biological Cybernetics},
  year={2011},
  volume={104},
  pages={263-296}
}
In this article, we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems. We describe in detail a device with 45 million programmable and dynamic synapses that is currently under development, and we sketch the conceptual challenges that arise from taking this platform into operation. More specifically, we aim at the establishment of this neuromorphic system as a flexible and… CONTINUE READING
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