A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems
Biological Cybernetics, Volume 104, Issue 4 (2011), pp. 263-296 doi: 10.1007/s00422-011-0435-9 Preprint available from arXiv:1011.2861v2 [q-bio.NC]
Compensating Inhomogeneities of Neuromorphic VLSI Devices via Short-Term Synaptic Plasticity
Frontiers in Computational Neuroscience 4:129 (2010) doi:10.3389/fncom.2010.00129
Simulator-Like Exploration of Cortical Network Architectures with a Mixed-Signal VLSI System
Proceedings of the 2010 IEEE International Symposium on Circuits and Systems, Paris, France, pp. 2784-2787
A Wafer-Scale Neuromorphic Hardware System for Large-Scale Neural Modeling
Proceedings of the 2010 IEEE International Symposium on Circuits and Systems, Paris, France, pp. 1947-1950
A software framework for mapping neural networks to a wafer-scale neuromorphic hardware system
Proceedings of the 2010 Artificial Neural Networks and Intelligent Information Processing, Madeira, Portugal, pp. 43-52
A common language for neuronal networks in software and hardware
The Neuromorphic Engineer (online article 2010) doi: 10.2417/1201001.1712
Establishing a Novel Modeling Tool: A Python-based Interface for a Neuromorphic Hardware System
Frontiers in Neuroinformatics 3:17 (2009) doi:10.3389/neuro.11.017.2009
High-Conductance States on a Neuromorphic Hardware System Bernhard Kaplan, Daniel Bruederle, Johannes Schemmel and Karlheinz Meier Proceedings of the 2009 International Joint Conference on Neural Networks, Atlanta, USA
PyNN: a common interface for neuronal network simulators
Frontiers in Neuroinformatics 2:11 (2008) doi:10.3389/neuro.11.011.2008
A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology Daniel Bruederle, Andreas Gruebl, Karlheinz Meier, Eilif Mueller, and Johannes Schemmel Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons Johannes Schemmel, Daniel Bruederle, Karlheinz Meier, Boris Ostendorf Proceedings of the 2007 IEEE International Symposium on Circuits and Systems, New Orleans, USA
Achieving Compatible Numeral Handwriting Recognition Rate by a Simple Activation Function Daniel Bruederle, Khamron Sunat, Sirapat Chiewchanwattana, Chidchanok Lursinsap, Suchada Siripant International Journal of Computational Intelligence Research (IJCIR) Special Issue: Neurocomputing and Applications, Volume 2, Issue 1, pp. 1-9, ISSN 0973-1873
On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA
Springer LNCS 3102 Proceedings of the 2004 Genetic and Evolutionary Computation Conferene, Seattle, USA, ISBN: 3-540-22344-4, pp. 1316-1327
Ten thousand times faster: Classifying multidimensional data on a spiking neuromorphic hardware system (Bernstein Center Poster Award)
BC11: Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting, Freiburg, Germany, October 4 - 6, 2011 (Available from Nature Precedings)
Sparse approximation on a network of locally competitive integrate and fire neurons
COSYNE 2011, Salt Lake City, Utah, USA, February 28 - March 1, 2011
FACETS: From Neurobiology to Neuromorphic computing - Cutting Edge Research and Interdisciplinary Graduate Training Daniel Bruederle, Andread Gruebl, Bjoern Kindler, Karlheinz Meier ICT Event 2010, Brussels, Belgium, September 27 - 29, 2010
Simulator-Like Exploration of Cortical Network Architectures with a Mixed-Signal VLSI System
Matching Network Dynamics Generated by a Neuromorphic Hardware System and by a Software Simulator
Bernstein Conference on Computational Neuroscience, Frankfurt am Main, Germany, September 30 - October 02, 2009
NeuralEnsembleOrg: Unifying neural simulators in Python to ease the model complexity bottleneck
2nd INCF Congress of Neuroinformatics, Pilsen, Czech Republic, September 06 - 08, 2009
Towards a New Computational Paradigm: Mapping Biological Neural Networks onto Neuromorphic Hardware
European Future Technologies Conference, Prague, Czech Republic, April 21-23, 2009
Fast Analog Computing with Emergent Transient States Daniel Bruederle, Bjoern Kindler, Jens Kremkow, Noelle Lewis, Richard Naud ICT Event 2008, Lyon, France, November 25 - 27, 2008
NeuroTools: analysis, visualization and management of real and simulated neuroscience data Jens Kremkow, Thierry Brizzi, Daniel Bruederle, Andrew Davison, Eilif Muller, Laurent Perrinet, Michael Schmuker, Pierre Yger Neuroscience 2008, Washington DC, November 16 - 19, 2008
PyNN: a common interface for neuronal network simulators
Neuroinformatics 2008, Stockholm, Sweden, September 07 - 09, 2008
Accelerated Neuromorphic Hardware in the FACETS Research Project Daniel Bruederle, Bjoern Kindler, Johannes Schemmel, Karlheinz Meier 4th International Nanotechnology Conference on Communication and Cooperation (INC4), Tokyo, Japan, April 14-17, 2008
Verifying the biological relevance of a neuromorphic hardware device
16th Annual Computational Neuroscience Meeting (CNS 2007), Toronto, Canada. 7-12 July 2007
EU-Forschungsprojekt FACETS: Massiv parallele neuronale Netze in Hardware Daniel Bruederle, Bjoern Kindler, Johannes Schemmel, Karlheinz Meier
Electronic Vision(s) Group – Dr. Johannes Schemmel
Im Neuenheimer Feld 227
69120 Heidelberg
Germany
phone: +49 6221 549849
fax: +49 6221 549839
email: schemmel(at)kip.uni-heidelberg.de
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