This site is under construction and incomplete
Overview of publications and citations at Google Scholar
Particle physics publications in INSPIRE
Friedmann, S., Schemmel, J., Gruebl, A., Hartel, A., Hock, M., & Meier, K. (2016). "Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System"
arXiv preprint arXiv:1604.05080.
Pfeil, T., Jordan, J., Tetzlaff, T., Grübl, A., Schemmel, J., Diesmann, M., & Meier, K. (2016). "Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study"
Physical Review X, 6(2), 021023.
Meier, K. . "A mixed-signal universal neuromorphic computing system."
In 2015 IEEE International Electron Devices Meeting (IEDM) (pp. 4-6).
Petrovici, M. A., Bytschok, I., Bill, J., Schemmel, J., & Meier, K. (2015). "The high-conductance state enables neural sampling in networks of LIF neurons"
BMC Neuroscience, 16(1), 1.
Jordan, J., Tetzlaff, T., Petrovici, M., Breitwieser, O., Bytschok, I., Bill, J., ... & Diesmann, M. (2015). "Deterministic neural networks as sources of uncorrelated noise for probabilistic computations"
BMC Neuroscience, 16(1), 1.
Probst, D., Petrovici, M. A., Bytschok, I., Bill, J., Pecevski, D., Schemmel, J., & Meier, K. (2015). "Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons."
Frontiers in Computational Neuroscience, 9, 13.
Petrovici, Mihai A., Johannes Bill, Ilja Bytschok, Johannes Schemmel, and Karlheinz Meier
"Stochastic inference with deterministic spiking neurons."
arXiv preprint arXiv:1311.3211 (2013)
Petrovici, Mihai A., Bernhard Vogginger, Paul Müller, Oliver Breitwieser, Mikael Lundqvist, Lyle Muller, Matthias Ehrlich et al.
"Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms."
PloS one 9, no. 10 (2014): e108590
Pfeil, Thomas, Andreas Grübl, Sebastian Jeltsch, Eric Müller, Paul Müller, Mihai A. Petrovici, Michael Schmuker, Daniel Brüderle, Johannes Schemmel, and Karlheinz Meier
"Six networks on a universal neuromorphic computing substrate."
Frontiers in neuroscience 7 (2013)
Pfeil, Thomas, Anne-Christine Scherzer, Johannes Schemmel, and Karlheinz Meier
"Neuromorphic learning towards nano second precision."
In Neural Networks (IJCNN), The 2013 International Joint Conference on, pp. 1-5. IEEE, 2013
Friedmann, Simon, Nicolas Frémaux, Johannes Schemmel, Wulfram Gerstner, and Karlheinz Meier
"Reward-based learning under hardware constraints—using a RISC processor embedded in a neuromorphic substrate."
Frontiers in neuroscience 7 (2013)
Hock, Matthias, Andreas Hartel, Johannes Schemmel, and Karlheinz Meier
"An analog dynamic memory array for neuromorphic hardware."
In Circuit Theory and Design (ECCTD), 2013 European Conference on, pp. 1-4. IEEE, 2013.
Pfeil, Thomas, Tobias C. Potjans, Sven Schrader, Wiebke Potjans, Johannes Schemmel, Markus Diesmann, and Karlheinz Meier.
"Is a 4-bit synaptic weight resolution enough?–constraints on enabling spike-timing dependent plasticity in neuromorphic hardware."
Frontiers in neuroscience 6 (2012)
Millner, Sebastian, Andreas Hartel, Johannes Schemmel, and Karlheinz Meier
"Towards biologically realistic multi-compartment neuron model emulation in analog VLSI."
In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learnin (ESANN). 2012
Schemmel, Johannes, A. Grubl, Stephan Hartmann, Alexander Kononov, Christian Mayr, Karlheinz Meier, Sebastian Millner et al.
"Live demonstration: A scaled-down version of the BrainScaleS wafer-scale neuromorphic system."
In Circuits and Systems (ISCAS), 2012 IEEE International Symposium on, pp. 702-702. IEEE, 2012.
Brüderle, Daniel, Mihai A. Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Sebastian Millner, Andreas Grübl et al.
"A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems."
Biological cybernetics 104, no. 4-5 (2011): 263-296
Schemmel, Johannes, D. Bruderle, A. Grubl, Matthias Hock, Karlheinz Meier, and Sebastian Millner
"A wafer-scale neuromorphic hardware system for large-scale neural modeling."
In Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on, pp. 1947-1950. IEEE, 2010
Millner, Sebastian, Andreas Grübl, Karlheinz Meier, Johannes Schemmel, and Marc-Olivier Schwartz
"A VLSI implementation of the adaptive exponential integrate-and-fire neuron model."
In Advances in Neural Information Processing Systems, pp. 1642-1650. 2010
Bill, Johannes, Klaus Schuch, Daniel Brüderle, Johannes Schemmel, Wolfgang Maass, and Karlheinz Meier
"Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity."
Frontiers in computational neuroscience 4 (2010).
Brüderle, Daniel, Eric Müller, Andrew Davison, Eilif Muller, Johannes Schemmel, and Karlheinz Meier
"Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system"
Frontiers in neuroinformatics 3 (2009)
Philipp, Stefan, Johannes Schemmel, and Karlheinz Meier
"A QoS network architecture to interconnect large-scale VLSI neural networks."
In Neural Networks, 2009. IJCNN 2009. International Joint Conference on, pp. 2525-2532. IEEE, 2009
Kaplan, Bernhard, Daniel Bruderle, Johannes Schemmel, and Karlheinz Meier
"High-conductance states on a neuromorphic hardware system."
In Neural Networks, 2009. IJCNN 2009. International Joint Conference on, pp. 1524-1530. IEEE, 2009
Schemmel, Johannes, Johannes Fieres, and Karlheinz Meier.
"Wafer-scale integration of analog neural networks"
In Neural Networks, 2008. IJCNN 2008.(IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, pp. 431-438. IEEE, 2008.
Fieres, Johannes, Johannes Schemmel, and Karlheinz Meier
"Realizing biological spiking network models in a configurable wafer-scale hardware system."
In Neural Networks, 2008. IJCNN 2008.(IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, pp. 969-976. IEEE, 2008.
Schemmel, Johannes, D. Bruderle, Karlheinz Meier, and Boris Ostendorf
"Modeling synaptic plasticity within networks of highly accelerated I&F neurons."
In Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on, pp. 3367-3370. IEEE, 2007
Muller, Eilif, Lars Buesing, Johannes Schemmel, and Karlheinz Meier
"Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories."
Neural Computation 19, no. 11 (2007): 2958-3010
Philipp, Stefan, Andreas Grübl, Karlheinz Meier, and Johannes Schemmel
"Interconnecting VLSI spiking neural networks using isochronous connections."
In Computational and Ambient Intelligence, pp. 471-478. Springer Berlin Heidelberg, 2007
Brüderle, Daniel, Andreas Grübl, Karlheinz Meier, Eilif Mueller, and Johannes Schemmel
"A software framework for tuning the dynamics of neuromorphic silicon towards biology."
In Computational and Ambient Intelligence, pp. 479-486. Springer Berlin Heidelberg, 2007
Muller, Eilif, Johannes Schemmel, and Karlheinz Meier
"Non-renewal Markov models for spike-frequency adapting neural ensembles."
BMC Neuroscience 8, no. Suppl 2 (2007): S12
Brüderle, Daniel, Karlheinz Meier, Eilif Mueller, and Johannes Schemmel
"Verifying the biological relevance of a neuromorphic hardware device."
BMC Neuroscience 8, no. Suppl 2 (2007): P10.
Schemmel, Johannes, Andreas Grubl, Karlheinz Meier, and Eilif Mueller
"Implementing synaptic plasticity in a VLSI spiking neural network model."
In Neural Networks, 2006. IJCNN'06. International Joint Conference on, pp. 1-6. IEEE, 2006.
Trefzer, Martin, Jörg Langeheine, Karlheinz Meier, and Johannes Schemmel
"Operational amplifiers: an example for multi-objective optimization on an analog evolvable hardware platform."
In Evolvable Systems: From Biology to Hardware, pp. 86-97. Springer Berlin Heidelberg, 2005
Fieres, Johannes, Karlheinz Meier, and Johannes Schemmel
"A convolutional neural network tolerant of synaptic faults for low-power analog hardware."
In Artificial Neural Networks in Pattern Recognition, pp. 122-132. Springer Berlin Heidelberg, 2006
Schemmel, Johannes, Karlheinz Meier, and Eilif Mueller
"A new VLSI model of neural microcircuits including spike time dependent plasticity."
In Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on, vol. 3, pp. 1711-1716. IEEE, 2004
Schemmel, Johannes, Steffen Hohmann, Karlheinz Meier, and Felix Schürmann
"A mixed-mode analog neural network using current-steering synapses."
Analog Integrated Circuits and Signal Processing 38, no. 2-3 (2004): 233-244
Fieres, J., A. Grübl, S. Philipp, K. Meier, J. Schemmel, and F. Schürmann
"A platform for parallel operation of VLSI neural networks."
In Proc. of the 2004 Brain Inspired Cognitive Systems Conference (BICS2004). 2004
Schürmann, Felix, Karlheinz Meier, and Johannes Schemmel
"Edge of chaos computation in mixed-mode vlsi-a hard liquid*
In Advances in Neural Information Processing Systems, pp. 1201-1208. 2004
Langeheine, Jörg, Karlheinz Meier, Johannes Schemmel, and Martin Trefzer
"Intrinsic evolution of digital-to-analog converters using a CMOS FPTA chip."
In Evolvable Hardware, 2004. Proceedings. 2004 NASA/DoD Conference on, pp. 18-25. IEEE, 2004
Hohmann, Steffen G., Johannes Fieres, Karlheinz Meier, Johannes Schemmel, Tillmann Schmitz, and F. Schumann
"Training fast mixed-signal neural networks for data classification."
In Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on, vol. 4, pp. 2647-2652. IEEE, 2004
Breidenassel, Andreas, Karlheinz Meier, and Johannes Schemmel
"A flexible scheme for adaptive integration time control [CMOS image sensor]."
In Sensors, 2004. Proceedings of IEEE, pp. 280-283. IEEE, 2004
Müller, Eilif, Karlheinz Meier, and Johannes Schemmel
"Methods for simulating high-conductance states in neural microcircuits."
Proceedings of the Brain Inspired Cognitive Systems (BICS), Stirling, UK (2004)
Langeheine, Jörg, Karlheinz Meier, and Johannes Schemmel
"Intrinsic evolution of analog electronic circuits using a CMOS FPTA chip."
In EUROGEN 2003-Proc. of the Fifth Conf. on Evolutionary Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2003). 2003
Schmitz, Tillmann, Steffen Hohmann, Karlheinz Meier, Johannes Schemmel, and Felix Schürmann
"Speeding up hardware evolution: A coprocessor for evolutionary algorithms."
In Evolvable Systems: From Biology to Hardware, pp. 274-285. Springer Berlin Heidelberg, 2003
Schürmann, Felix, Steffen G. Hohmann, Karlheinz Meier, and Johannes Schemmel
"Interfacing binary networks to multi-valued signals."
In Supplementary Proceedings of the Joint International Conference ICANN/ICONIP, pp. 430-433. 2003
Hohmann, Steffen G., Johannes Schemmel, Felix Schurmann, and Karlheinz Meier
"Predicting protein cellular localization sites with a hardware analog neural network."
In Neural Networks, 2003. Proceedings of the International Joint Conference on, vol. 1, pp. 381-386. IEEE, 2003.
Schurmann, Felix, Steffen Hohmann, Johannes Schemmel, and Karlheinz Meier
"Towards an artificial neural network framework."
In Evolvable Hardware, 2002. Proceedings. NASA/DoD Conference on, pp. 266-273. IEEE, 2002
Langeheine, Jörg, Karlheinz Meier, and Johannes Schemmel
"Intrinsic evolution of quasi dc solutions for transistor level analog electronic circuits using a CMOS FPTA chip."
In Evolvable Hardware, 2002. Proceedings. NASA/DoD Conference on, pp. 75-84. IEEE, 2002
Schemmel, Johannes, Felix Schürmann, Steffen Hohmann, and Karlheinz Meier
"An integrated mixed-mode neural network architecture for megasynapse ANNs."
In Proceedings of the 2002 International Joint Conference on Neural Networks IJCNN’02, pp. 2704-2710. 2002
Schemmel, Johannes, Karlheinz Meier, and Markus Loose
"A scalable switched capacitor realization of the resistive fuse network."
Analog Integrated Circuits and Signal Processing 32, no. 2 (2002): 135-148
Hohmann, Steffen G., Johannes Schemmel, Felix Schürmann, and Karlheinz Meier
"Exploring The Parameter Space Of A Genetic Algorithm For Training An Analog Neural Network."
n GECCO, pp. 375-382. 2002.
Loose, Markus, Karlheinz Meier, and Johannes Schemmel
"A self-calibrating single-chip CMOS camera with logarithmic response."
Solid-State Circuits, IEEE Journal of 36, no. 4 (2001): 586-596
Maucher, Thorsten, Karlheinz Meier, and Johannes Schemmel
"An interactive tactile graphics display."
In Signal Processing and its Applications, Sixth International, Symposium on. 2001, vol. 1, pp. 190-193. IEEE, 2001
Langeheine, Jörg, Joachim Becker, Simon Folling, Karlheinz Meier, and Johannes Schemmel
"A CMOS FPTA chip for intrinsic hardware evolution of analog electronic circuits."
In Evolvable hardware, 2001. Proceedings. The Third NASA/DoD Workshop on, pp. 172-175. IEEE, 2001
Schemmel, Johannes, Karlheinz Meier, and Felix Schürmann
"A VLSI implementation of an analog neural network suited for genetic algorithms."
In Evolvable Systems: From Biology to Hardware, pp. 50-61. Springer Berlin Heidelberg, 2001
Langeheine, Jörg, Joachim Becker, Simon Fölling, Karlheinz Meier, and Johannes Schemmel
"Initial studies of a new VLSI field programmable transistor array."
In Evolvable Systems: From Biology to Hardware, pp. 62-73. Springer Berlin Heidelberg, 2001
Maucher, Thorsten, Johannes Schemmel, and Karlheinz Meier
"The heidelberg tactile vision substitution system."
In International Conference on Computers Helping People with Special Needs (ICCHP2000). 2000
Langeheine, Jörg, Simon Fölling, Karlheinz Meier, and Johannes Schemmel
"Towards a silicon primordial soup: A fast approach to hardware evolution with a VLSI transistor array."
In Evolvable Systems: From Biology to Hardware, pp. 123-132. Springer Berlin Heidelberg, 2000.
Loose, M., K. Meier, and J. Schemmel
"Self-calibrating logarithmic CMOS image sensor with single chip camera functionality."
In IEEE Workshop on CCDs and Advanced Image Sensors, Karuizawa, vol. 27. 1999
Schemmel, J., M. Loose, and K. Meier
"A 66× 66 pixels analog edge detection array with digital readout."
In Proceedings of the 25th European Solid-State Circuits Conference, Edition Frontinieres, ISBN, pp. 2-86332. 1999.
Loose, Markus, Karlheinz Meier, and Johannes Schemmel
"CMOS image sensor with logarithmic response and self-calibrating fixed pattern noise correction."
In SYBEN-Broadband European Networks and Electronic Image Capture and Publishing, pp. 117-127. International Society for Optics and Photonics, 1998
