Event-based Sensor Interface for Supercomputer scale Neural Networks

作者: Simon Benjaminsson , Erik M Rehn , Anders Lansner

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参考文章(6)
Sebastian Jeltsch, Alain Destexhe, Daniel Brüderle, Bernhard Vogginger, Jens Kremkow, Thomas Pfeil, Johannes Partzsch, Markus Diesmann, Johannes Schemmel, Sebastian Millner, Christian Mayr, Stefan Scholze, Marc-Olivier Schwartz, Lyle Muller, Andrew P. Davison, Mikael Lundqvist, Anders Lansner, Eilif Muller, Oliver Breitwieser, Andreas Grübl, Karsten Wendt, Pradeep Krishnamurthy, Eric Müller, Karlheinz Meier, Matthias Ehrlich, Lukas Zühl, Moritz Schilling, Dan Husmann de Oliveira, Venelin Petkov, Johannes Fieres, Paul Müller, René Schüffny, Mihai A. Petrovici, Tobias C. Potjans, A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems Biological Cybernetics. ,vol. 104, pp. 263- 296 ,(2011) , 10.1007/S00422-011-0435-9
Henry Markram, Karlheinz Meier, Thomas Lippert, Sten Grillner, Richard Frackowiak, Stanislas Dehaene, Alois Knoll, Haim Sompolinsky, Kris Verstreken, Javier DeFelipe, Seth Grant, Jean-Pierre Changeux, Alois Saria, Introducing the Human Brain Project future technologies conference. ,vol. 7, pp. 39- 42 ,(2011) , 10.1016/J.PROCS.2011.12.015
Sung Hyun Jo, Ting Chang, Idongesit Ebong, Bhavitavya B. Bhadviya, Pinaki Mazumder, Wei Lu, Nanoscale Memristor Device as Synapse in Neuromorphic Systems Nano Letters. ,vol. 10, pp. 1297- 1301 ,(2010) , 10.1021/NL904092H
Mikael Djurfeldt, Johannes Hjorth, Jochen M Eppler, Niraj Dudani, Moritz Helias, Tobias C Potjans, Upinder S Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski, Örjan Ekeberg, None, Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework Neuroinformatics. ,vol. 8, pp. 43- 60 ,(2010) , 10.1007/S12021-010-9064-Z
K.A. Zaghloul, K. Boahen, Optic nerve signals in a neuromorphic chip I: Outer and inner retina models IEEE Transactions on Biomedical Engineering. ,vol. 51, pp. 657- 666 ,(2004) , 10.1109/TBME.2003.821039
Anders Sandberg, Bayesian attractor neural network models of memory Institutionen för numerisk analys och datalogi, Stockholm University. ,(2003)