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 M. Petrovici and Bernhard Vogginger and Matthias Ehrlich and Thomas Pfeil and S. Millner and A. Gr{\"u}bl and Karsten Wendt and Eric M{\"u}ller and M. Schwartz and Dan Husmann de Oliveira and S. Jeltsch and J. Fieres and M. Schilling and Paul M{\"u}ller and O. Breitwieser and Venelin Petkov and L. Muller and Andrew P. Davison and Pradeep Krishnamurthy and Jens Kremkow and M. Lundqvist and Eilif B. M{\"u}ller and J. Partzsch and Stefan Scholze and Lukas Z{\"u}hl and C. Mayr and A. Destexhe and M. Diesmann and Tobias C. Potjans and A. Lansner and R. Sch{\"u}ffny and J. Schemmel and K. 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… Expand
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