Dr. Daniel Brüderle
Status: Alumnus
Contact:
Collaborative Tasks:
- Coordination of software development in the Electronic Vision(s) group and of software collaborations with partners
- Integration of FACETS project results into a novel neuroscientific modeling work flow for the FACETS hardware devices
Research:
- Development of an experimental interface for a neuromorphic hardware system
- Emulation of cortical network models with a wafer-scale neuromorphic hardware system (description, network topology and parameter mapping, stimulation, recording, analysis)
- See this link for some experimental results
- Neural network modeling: hardware - software comparison studies
- Statistical analysis of neural network dynamics
Further Interests:
- Self-organization and synaptic plasticity
- Liquid computing
- Pattern recognition with neural networks
Publications:
Theses
Neuroscientific Modeling with a Mixed-Signal VLSI Hardware System
Daniel Brüderle, Dissertation (2009)
Referees:
- Prof. Dr. Karlheinz Meier, Kirchhoff Institute for Physics, Ruperto-Carola University, Heidelberg, Germany (Supervisor)
- Prof. Dr. Alain Destexhe, UNIC-CNRS, Gif-sur-Yvette, France
Implementing Spike-Based Computation on a Hardware Perceptron
Daniel Brüderle, Diploma thesis (2005)
Articles and Peer-reviewed Conference Papers
2011
A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems
Daniel Brüderle, Mihai Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller, Marc-Olivier Schwartz, Dan Husmann de Oliveira, Sebastian Jeltsch, Johannes Fieres, Moritz Schilling, Paul Müller, Oliver Breitwieser, Venelin Petkov, Lyle Muller, Andrew P. Davison, Pradeep Krishnamurthy, Jens Kremkow, Mikael Lundqvist, Eilif Muller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier
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]
2010
Compensating Inhomogeneities of Neuromorphic VLSI Devices via Short-Term Synaptic Plasticity
Johannes Bill, Klaus Schuch, Daniel Brüderle, Johannes Schemmel, Wolfgang Maass, Karlheinz Meier
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
Daniel Brüderle, Johannes Bill, Bernhard Kaplan, Jens Kremkow, Karlheinz Meier, Eric Müller and Johannes Schemmel
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
Johannes Schemmel, Daniel Brüderle, Andreas Grübl, Matthias Hock, Karlheinz Meier and Sebastian Millner
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
M. Ehrlich, K. Wendt, L. Zühl, R. Schüffny, D. Brüderle, E. Müller and B. Vogginger
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
Andrew Davison, Eilif Muller, Daniel Brüderle, and Jens Kremkow
The Neuromorphic Engineer (online article 2010)
doi: 10.2417/1201001.1712
2009
Establishing a Novel Modeling Tool: A Python-based Interface for a Neuromorphic Hardware System
Daniel Brüderle, Eric Müller, Andrew Davison, Eilif Muller, Johannes Schemmel, Karlheinz Meier
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
2008
PyNN: a common interface for neuronal network simulators
Andrew P. Davison, Daniel Brüderle, Jochen M. Eppler, Jens Kremkow, Eilif Muller, Dejan A. Pecevski, Laurent Perrinet and Pierre Yger
Frontiers in Neuroinformatics 2:11 (2008)
doi:10.3389/neuro.11.011.2008
2007
A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology
Daniel Bruederle, Andreas Gruebl, Karlheinz Meier, Eilif Mueller, and Johannes Schemmel
Proceedings of the 2007 International Work Conference on Artificial Neural Networks, San Sebastián, Spain, Springer LNCS 4507, pp. 479 - 486
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
2006
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
2004
On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA
Jörg Langeheine, Martin Trefzer, Daniel Brüderle, Karlheinz Meier
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)
Michael Schmuker, Daniel Brüderle, Sven Schrader and Martin P. Nawrot
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
Samuel Shapero, Daniel Brüderle, Paul Hasler, Christopher Rozell
COSYNE 2011, Salt Lake City, Utah, USA, February 28 - March 1, 2011
2010
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
(Poster for Live Demo Session - For corresponding paper see article section above)
Daniel Brüderle, Johannes Bill, Andreas Gruebl, Sebastian Jeltsch, Bernhard Kaplan, Jens Kremkow, Karlheinz Meier, Eric Mueller, Mihai Petrovici, Johannes Schemmel, Bernhard VoggingerInternational Symposium on Circuits and Systems, Paris, France, May 31 - June 02, 2010
2009
Matching Network Dynamics Generated by a Neuromorphic Hardware System and by a Software Simulator
Daniel Brüderle, Jens Kremkow, Andreas Bauer, Laurent Perrinet, Ad Aertsen, Guillaume Masson and Karlheinz Meier
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
Eilif Muller, Andrew P. Davison, T. Brizzi, D. Brüderle, M. J. Eppler, Jens Kremkow, D. Pecevski, Laurent Perrinet, Michael Schmuker and Pierre Yger
2nd INCF Congress of Neuroinformatics, Pilsen, Czech Republic, September 06 - 08, 2009
Towards a New Computational Paradigm: Mapping Biological Neural Networks onto Neuromorphic Hardware
Daniel Brüderle et al.
European Future Technologies Conference, Prague, Czech Republic, April 21-23, 2009
2008
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
Davison A.P., Brüderle D., Kremkow J., Muller E., Pecevski D., Perrinet, L. and Yger, P.
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
2007
Verifying the biological relevance of a neuromorphic hardware device
Daniel Brüderle, Karlheinz Meier, Eilif Mueller, Johannes Schemmel
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
"Europa - unsere Zukunft. Misch Dich ein!" (German) In the parliament of the German state Baden-Württemberg, Stuttgart, Germany, March 3rd, 2007
Supervised Student Work
- Thomas Pfeil (Diploma thesis, 2011): Configuration Strategies for Neurons and Synaptic Learning in Large-Scale Neuromorphic Hardware Systems
- Sebastian Jeltsch (Diploma thesis, 2010): Computing with Transient States on a Neuromorphic Multi-Chip Environment
- Alexander Müller-Brand (Bachelor thesis, 2010): Testing the Accuracy of Neuromorphic Device Congurations
- Marvin Albert (Bachelor thesis, 2010): Liquid Computing mit Neuromorpher Hardware
- Dimitri Probst (Project internship, 2010): Concepts for Software-Hardware Run-Time Interoperability of Spiking Neural Network Models
- Benjamin Hepp (Software internship, 2010): Visualization of the Mapping from a Neuronal Network onto a Neuromorphic Hardware System
- Radoslav Rusanov (Software internship, 2010): 3D-Visualisierung einer wafer-scale neuromorphen Hardware und des darauf abgebildeten biologischen neuronalen Netzwerkes
- Johannes Bill (Diploma thesis, 2008): Self-Stabilizing Network Architectures on a Neuromorphic Hardware System
- Eric Müller (Diploma thesis, 2008): Operation Of An Imperfect Neuromorphic Hardware Device
- Bernhard Kaplan (Diploma thesis, 2008): Self-Organization Experiments for a Neuromorphic Hardware Device
- Tobias Harion (Software internship, 2008): 3D-Visualisierung einer Abbildung von neuronalen Netzwerkmodellen auf eine neuromorphe Hardware
- Andreas Bauer (Software internship, 2008): Statistical analysis of neuronal network experiments with NeuroTools
