KIP-Veröffentlichungen

Suchmaske (Einfache Suchmaske)

Das elektronische Auge


GRUPPEN: F9

Kirchhoff-Institut für Physik

gefunden: 382
  2024
Lu.i – A low-cost electronic neuron for education and outreach
Yannik Stradmann, Julian Göltz, Mihai A. Petrovici, Johannes Schemmel, Sebastian Billaudelle
arXiv:2404.16664 
pdf (3.1 MB)  arXiv:2404.16664 [q-bio.NC]  
Closing the loop: High-speed robotics with accelerated neuromorphic hardware
Yannik Stradmann, Johannes Schemmel
Frontiers in Neuroscience, Sec. Neuromorphic Engineering, Volume 18 - 2024 
pdf (2.9 MB)  Frontiers in Neuroscience  
Runtime-dynamic reconfiguration for a time-continuous neuromorphic system
Tim Auberer
Bachelorarbeit  pdf (1.9 MB) 
Characterization of low-power I/O cell input circuits for chip-to-chip interconnects
Michael Paping
Bachelorarbeit  pdf (7.9 MB) 
  2023
Calibration and Measurement of an I/O Cell Output Driver
Michael Paping
Simulation-based inference for model parameterization on analog neuromorphic hardware
Jakob Kaiser, Raphael Stock, Eric Müller, Johannes Schemmel, Sebastian Schmitt
Jakob Kaiser et al 2023 Neuromorph. Comput. Eng. 3 044006 
Efficient Software for Event-based Optimization on Neuromorphic Hardware
Moritz Althaus
Masterarbeit 
From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system
Hartmut Schmidt and José Montes and Andreas Grübl and Maurice Güttler and Dan Husmann and Joscha Ilmberger and Jakob Kaiser and Christian Mauch and Eric Müller and Lars Sterzenbach and Johannes Schemmel and Sebastian Schmitt
Neuromorphic Computing and Engineering 3 (2023) 034013 
pdf (6.3 MB)  URL  
Gradient-based methods for spiking physical systems
Julian Göltz, Sebastian Billaudelle, Laura Kriener, Luca Blessing, Christian Pehle, Eric Müller, Johannes Schemmel, Mihai A. Petrovici
pdf (567.8 kB) 
Multi-Single-Chip Training of Spiking Neural Networks with BrainScaleS-2
Jan Valentin Straub
Bachelorarbeit  pdf (6.5 MB) 
Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware
Benjamin Cramer, Markus Kreft, Sebastian Billaudelle, Vitali Karasenko, Aron Leibfried, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel, Miguel A. Muñoz, Viola Priesemann, Johannes Zierenberg
URL   pdf (2.2 MB) 
A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing
Philipp Dauer, Milena Czierlinski, Sebastian Billaudelle, Andreas Grübl and Johannes Schemmel
pdf (438.7 kB)  IEEE paper  
Gradient Estimation With Sparse Observations for Analog Neuromorphic Hardware
Luca Blessing
Masterarbeit  pdf (9.8 MB) 
Biomorphic control for high-speed robotic applications
Yannik Stradmann, Johannes Schemmel
pdf (510.9 kB)  Proceedings of the 7th HBP Student Conference on Interdisciplinary Brain Research (16 MB)  Frontiers Book  
Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication
Arnold, Elias and Böcherer, Georg and Strasser, Florian and Müller, Eric and Spilger, Philipp and Billaudelle, Sebastian and Weis, Johannes and Schemmel, Johannes and Calabrò, Stefano and Kuschnerov, Maxim
https://ieeexplore.ieee.org/document/10059327 
pdf (1.5 MB) 
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2
Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel
pdf (704.6 kB) 
Biomorphic Control for High-Speed Robotic Applications
Yannik Stradmann, Johannes Schemmel
7th HBP Student Conference on Interdisciplinary Brain Research  
Biomorphic Control for High-Speed Robotic Applications
Yannik Stradmann
7th HBP Student Conference on Interdisciplinary Brain Research  
Leveraging PyTorch on BrainScaleS-2: Training a Real-World Application
Elias Arnold, Philipp Spilger, Eric Müller, Georg Böcherer, Maxim Kuschnerov, Johannes Schemmel
pdf (6.9 MB) 
The implementation of a dual-mode DAC for an SAR ADC
Milena Czierlinski
Masterarbeit  pdf (4.9 MB) 
  2022
From transistors to learning systems: circuits and algorithms for brain-inspired computing
Sebastian Billaudelle
Dissertation 
Neuromorphic quantum computing
Christian Pehle and Christof Wetterich
Physical Review E, Vol. 106, No. 4 
pdf (928.3 kB)  Prepring on arXiv  
Neuromorphic quantum computing
Christian Pehle and Christof Wetterich
pdf (765.2 kB) 
Analog-to-digital conversion for mixed-signal computing: Components for a successive-approximation ADC
Philipp Dauer
Masterarbeit  pdf (6.8 MB) 
Hardware Design and Reference Current Generation for Neuromorphic Multi-Chip Systems
Maximilian Stucke
Bachelorarbeit  pdf (2.4 MB) 
Spiking Neural Network Equalization for IM/DD Optical Communication
Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication
Elias Arnold and Georg Böcherer and Eric Müller and Philipp Spilger and Johannes Schemmel and Stefano Calabrò and Maxim Kuschnerov
Gradient Computation With Sparse Observations for Analog Neuromorphic Hardware
Luca Blessing, Elias Arnold, Eric Müller, Johannes Schemmel, Christian Pehle
pdf (6.6 MB) 
Demonstrating a Fully Automated Software Framework for PyTorch-based Training on BrainScaleS-2 Using a High-speed Data Communication Example
Elias Arnold, Philipp Spilger, Christian Mauch, Luca Blessing, Eric Müller, Johannes Schemmel
pdf (2.1 MB) 
Die Fliege im Honigtopf – BrainScaleS-2 aus Heidelberg
Yannik Stradmann
pdf (13.7 MB) 
Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication
Elias Arnold, Georg Böcherer, Eric Müller, Philipp Spilger, Johannes Schemmel, Stefano Calabrò, Maxim Kuschnerov
Towards Multi-Compartment Experiments on BrainScaleS-2
Raphael Stock
Masterarbeit  pdf (6.4 MB) 
Demonstrating BrainScaleS-2 Inter-Chip Pulse Communication using EXTOLL
Thommes T, Bordukat S, Grübl A, Karasenko V, Müller E, Schemmel, J
NICE (2022) 98--100 
Spiking Neural Network Equalization for IM/DD Optical Communication
Arnold E, Böcherer G, Müller E, Spilger P, Schemmel J, Calabrò S, Kuschnerov M
SPPCom (2022) 
Emulating Dendritic Computing Paradigms on Analog Neuromorphic Hardware
Jakob Kaiser, Sebastian Billaudelle, Eric Müller, Christian Tetzlaff, Johannes Schemmel, Sebastian Schmitt
Neuroscience 489 (2022) 290-300 
The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity
Pehle C, Billaudelle S, Cramer B, Kaiser J, Schreiber K, Stradmann Y, Weis J, Leibfried A, Müller E and Schemmel J
Front. Neurosci. 16 (2022) 795876 
pdf (3.4 MB) 
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware
Müller E, Arnold E, Breitwieser O, Czierlinski M, Emmel A, Kaiser J, Mauch C, Schmitt S, Spilger P, Stock R, Stradmann Y, Weis J, Baumbach A, Billaudelle S, Cramer B, Ebert F, Göltz J, Ilmberger J, Karasenko V, Kleider M, Leibfried A, Pehle C and Schemmel J
Front. Neurosci. 16 (2022) 884128 
pdf (1.6 MB) 
Quantum many-body states: A novel neuromorphic application
Andreas Baumbach , Robert Klassert , Stefanie Czischek , Martin Gärttner , Mihai A. Petrovici
NICE 2022: Neuro-Inspired Computational Elements Conference 
pdf (2.1 MB) 
Surrogate gradients for analog neuromorphic computing
Benjamin Cramer and Sebastian Billaudelle and Simeon Kanya and Aron Leibfried and Grübl, Andreas and Vitali Karasenko and Christian Pehle and Korbinian Schreiber and Yannik Stradmann and Johannes Weis and Johannes Schemmel and Friedemann Zenke
Proceedings of the National Academy of Sciences 119 (2022) 
pdf (2.5 MB)  https://www.pnas.org/content/119/4/e2109194119.full   cramere2022surrogate  
The Operating System of the Neuromorphic BrainScaleS-1 System
Eric Müller, Sebastian Schmitt, Christian Mauch, Sebastian Billaudelle, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Sebastian Jeltsch, Jakob Kaiser, Johann Klähn, Mitja Kleider, Christoph Koke, José Montes, Paul Müller, Johannes Partzsch, Felix Passenberg, Hartmut Schmidt, Bernhard Vogginger, Jonas Weidner, Christian Mayr, Johannes Schemmel
Neurocomputing (2022) 
pdf (6.3 MB)  arXiv pre-print  
  2021
Real-time Image Classification on Analog Neuromorphic Hardware
Falk Leonard Ebert
Bachelorarbeit  pdf (3.9 MB) 
Learning by Tooling: Novel Neuromorphic Learning Strategies in Reproducible Software Environments
Oliver Julien Breitwieser
Dissertation  HeiDOK  
Fast and energy-efficient neuromorphic deep learning with first-spike times
J. Göltz, L. Kriener, A. Baumbach, S. Billaudelle, O. Breitwieser, B. Cramer, D. Dold, A. F. Kungl, W. Senn, J. Schemmel, K. Meier, M. A. Petrovici
Nature Machine Intelligence volume 3 (2021) 823–835 
arXiv   nature.com  
On-chip calibration and closed-loop experiments on analog neuromorphic hardware
Aron Leibfried
Masterarbeit  pdf (4.9 MB) 
Biologically Inspired Learning in Recurrent Spiking Neural Networks on Neuromorphic Hardware
Elias Arnold
Masterarbeit  pdf (10.4 MB) 
Calibration of the PowerIt
Jakob Sawatzki
Input-Induced Dynamical States in Homeostatically Regulated Neuromorphic Recurrent Neural Networks
Markus Kreft
Masterarbeit  pdf (9 MB) 
Learning Bayes-optimal dendritic opinion pooling
Jakob Jordan, João Sacramento, Willem A.M. Wybo, Mihai A. Petrovici*, Walter Senn*
arXiv:2104.13238 
pdf (2.1 MB)  arXiv link  
From Neural Network Descriptions to Neuromorphic Hardware — A Signal-Flow Graph Compiler Approach
Philipp Spilger
Masterarbeit  pdf (4.5 MB) 
Demonstrating Analog Inference on the BrainScaleS-2 Mobile System
Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann, Joscha Ilmberger, Eric Müller, Philipp Spilger, Johannes Weis, Johannes Schemmel
arXiv:2103.15960 
pdf (6.6 MB)  arXiv preprint (2103.15960)  
Robustness through Plasticity: A Homeostatic Mechanism for Spiking Sampling Networks
Timo Gierlich
Masterarbeit 
Accelerated neuromorphic cybernetics
Korbinian Schreiber
Dissertation  accelerated_neuromorphic_cybernetics.pdf  
Visualizing a joint future of neuroscience and neuromorphic engineering
Friedemann Zenke and Sander M. Bohté and Claudia Clopath and Iulia M. Comşa and Julian Göltz and Wolfgang Maass and Timothée Masquelier and Richard Naud and Emre O. Neftci and Mihai A. Petrovici and Franz Scherr and Dan F.M. Goodman
Neuron 109 (2021) 571-575 
ZENKE2021571  
The Yin-Yang dataset
Laura Kriener and Julian Göltz and Mihai A. Petrovici
arXiv:2102.08211 
https://arxiv.org/abs/2102.08211  
Migration and Enhancement of the Advanced Lab Course on Neuromorphic Computing
Alexander Nock
Bachelorarbeit  pdf (20.9 MB) 
Adjoint equations of spiking neural networks
Christian Pehle
Dissertation  pdf (14.1 MB) 
Event-based backpropagation can compute exact gradients for spiking neural networks
Wunderlich, Timo C. and Pehle, Christian
pdf (46.3 MB) 
Towards Addressing Noise and Static Variations of Analog Computations using Efficient Retraining
Bernhard Klein, Lisa Kuhn, Johannes Weis, Arne Emmel, Yannik Stradmann, Johannes Schemmel, Holger Fröning
pdf (1.2 MB) 
Operating Accelerated Neuromorphic Hardware - A Scalable and Sustainable Approach
Christian Paul Mauch
Dissertation 
A homeostatic mechanism for plasticity in heterogeneous spiking networks
Timo Gierlich, Andreas Baumbach, Akos F. Kungl, Mihai A. Petrovici
From microscopic dynamics to ensemble behavior in spiking neural networks
Andreas Baumbach
Dissertation 
Predictive olfactory learning in Drosophila
Chang Zhao, Yves F. Widmer, Soeren Diegelmann, Mihai A. Petrovici, Simon G. Sprecher, Walter Senn
Scientific Reports volume 11, Article number: 6795 (2021) 
Scientific Reports   bioRxiv  
  2020
Harnessing function from form: towards bio-inspired artificial intelligence in neuronal substrates
Dold, Dominik
Dissertation  pdf (24.3 MB)  UB-Entry  
Adapting the Cortical Microcircuit Model for the BrainScaleS-1 Hardware
Moritz Hornung
Bachelorarbeit  pdf (3.8 MB) 
Natural gradient learning for spiking neurons
Elena Kreutzer, Walter Senn*, Mihai A. Petrovici*
arXiv:2011.11710 
pdf (2.8 MB)  arXiv link  
Inference with Convolutional Neural Networks on Analog Neuromorphic Hardware
Arne Emmel
Masterarbeit  pdf (4.2 MB) 
PyNN for BrainScaleS-2
Milena Czierlinski
Bachelorarbeit  pdf (4.2 MB) 
Self-sustained probabilistic computing on spike-based neuromorphic systems
Akos F. Kungl, Dominik Dold, Andreas Baumbach, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Nico Gürtler, Maurice Güttler, Andreas Hartel, Dan Husmann, Kai Husmann, Vitali Karasenko, Johann Klähn, Mitja Kleider, Christoph Koke, Alexander Kugele, Luziwei Leng, Christian Mauch, Eric Müller, Paul Müller, Sebastian Schmitt, Karlheinz Meier, Johannes Schemmel, Walter Senn and Mihai A. Petrovici
Bernstein Conference - Online only, 2020  
Poster walkthrough video   pdf (8.8 MB)  Bernstein Abstracts official site  
Inference with Artificial Neural Networks on Neuromorphic Hardware
Johannes Weis
Masterarbeit  pdf (4.6 MB) 
Implementation of Large Scale Neural Networks on the Neuromorphic BrainScaleS-1 System
Jakob Kaiser
Masterarbeit  pdf (5.4 MB) 
Characterization of silicon neurons on HICANN-X v2
Philipp Dauer
Bachelorarbeit  pdf (9.5 MB) 
Deep Learning on Analog Neuromorphic Hardware
Simeon Kanya
Masterarbeit  pdf (5.6 MB) 
Robust learning algorithms for spiking and rate-based neural networks
Akos F. Kungl
Dissertation  Uni HD Archiv  
hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware
Philipp Spilger, Eric Müller, Arne Emmel, Aron Leibfried, Christian Mauch, Christian Pehle, Johannes Weis, Oliver Breitwieser, Sebastian Billaudelle, Sebastian Schmitt, Timo C. Wunderlich, Yannik Stradmann, Johannes Schemmel
https://arxiv.org/abs/2006.13138 
arXiv pre-print  
Spiking neuromorphic chip learns entangled quantum states
Stefanie Czischek, Andreas Baumbach, Sebastian Billaudelle, Benjamin Cramer, Lukas Kades, Jan M. Pawlowski, Markus K. Oberthaler, Johannes Schemmel, Mihai A. Petrovici, Thomas Gasenzer, Martin Gärttner
SciPost Phys. 12, 039 (2022) 
Evolving to learn: discovering interpretable plasticity rules for spiking networks
Jakob Jordan*, Maximilian Schmidt*, Walter Senn, Mihai A. Petrovici
arXiv:2005.14149 
arXiv preprint  
Accelerated Analog Neuromorphic Computing
Johannes Schemmel, Sebastian Billaudelle, Philipp Dauer, Johannes Weis
https://arxiv.org/abs/2003.11996 
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System
Andreas Grübl, Sebastian Billaudelle, Benjamin Cramer, Vitali Karasenko, Johannes Schemmel
pdf (1.6 MB)  Full-Text PDF  
Extending BrainScaleS OS for BrainScaleS-2
Eric Müller, Christian Mauch, Philipp Spilger, Oliver Julien Breitwieser, Johann Klähn, David Stöckel, Timo C. Wunderlich, Johannes Schemmel
https://arxiv.org/abs/2003.13750 
arXiv pre-print   pdf (5.2 MB) 
Structural plasticity on spiking neuromorphic hardware
Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Johannes Schemmel
Neuro-Inspired Computational Elements Workshop (NICE) 2020 
BrainScaleS — Accelerated Analog Neuromorphic Hardware
Eric Müller
Accelerated Analog Neuromorphic Hardware
Eric Müller
Deep Learning with Analog Neuromorphic Hardware
Yannik Stradmann
3rd Workshop on Embedded Machine Learning - WEML2019/20   pdf (3.3 MB) 
Conductance-based dendrites perform reliability-weighted opinion pooling
Jakob Jordan, Mihai A. Petrovici, Walter Senn, João Sacramento
NAISYS 2020, NICE 2020 
pdf (734.7 kB) 
Natural gradient learning for spiking neurons
E. Kreutzer, M. A. Petrovici, W. Senn
COSYNE 2020, NICE 2020 
NICE   pdf (2 MB) 
Deep reinforcement learning for time-continuous substrates
Akos F. Kungl, Dominik Dold, Oskar Riedler, Mihai A. Petrovici, Walter Senn
Neuro-Inspired Computational Elements Workshop (NICE), 2020 Heidelberg, Germany 
pdf (669.1 kB) 
Closed-loop experiments on the BrainScaleS-2 architecture
K. Schreiber, T. C. Wunderlich, C. Pehle, M. A. Petrovici, J. Schemmel, K. Meier
Neuro-Inspired Computational Elements Workshop (NICE), 2020 Heidelberg, Germany 
pdf (879.7 kB) 
Fast and deep neuromorphic learning with first-spike coding
J. Göltz, A. Baumbach, S. Billaudelle, O. Breitwieser, L. Kriener, A. F. Kungl, K. Meier, J. Schemmel, M. A. Petrovici
NICE 2020, NAISYS 2020, COSYNE 2020 
ttfs_2020_NICE_full (4.8 MB)  NICE  
Towards Structured Data Exchange in Distributed Neuromorphic Systems
Mathis Kunold
Bachelorarbeit  pdf (733.1 kB) 
Von Neumann bottlenecks in non-von Neumann computing architectures
Vitali Karasenko
Dissertation  HeiDok PDF  
Control of criticality and computation in spiking neuromorphic networks with plasticity
Benjamin Cramer, David Stöckel, Markus Kreft, Michael Wibral, Johannes Schemmel, Karlheinz Meier, Viola Priesemann
Nature Communications 11 (2020) 1-11 
pdf (1 MB) 
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke
IEEE Transactions on Neural Networks and Learning Systems (2020) 
pdf (2.8 MB) 
Inference with Artificial Neural Networks on Analog Neuromorphic Hardware
Johannes Weis, Philipp Spilger, Sebastian Billaudelle, Yannik Stradmann, Arne Emmel, Eric Müller, Oliver Breitwieser, Andreas Grübl, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Christian Mauch, Korbinian Schreiber, Johannes Schemmel
Communications in Computer and Information Science, vol 1325 (2020), pp 201-212 
arXiv   Springer Link  
Reconstruction of Synaptic Weight on the Neuromorphic BrainscaleS-1 System
Malte Wehrheim
Bachelorarbeit    pdf (3 MB) 
  2019
An energy-based model of folded autoencoders for unsupervised learning in cortical hierarchies
Dominik Dold, João Sacramento, Akos F. Kungl, Walter Senn and Mihai A. Petrovici
Bernstein Conference - Berlin, 2019  
Abstract on the conference page   pdf (1.2 MB) 
Short-Term Plasticity on the BrainScaleS Neuromorphic System
Raphael C. Engelhardt
Masterarbeit 
Verification and Commissioning of Mixed-Signal Neuromorphic Substrates
Yannik Stradmann
Masterarbeit  pdf (4.5 MB) 
Solving machine learning problems with biological principles
Luziwei Leng
Dissertation 
Optimizing Cooling Performance and Efficiency of the BrainScaleS System
Nico Schwersenz
Bachelorarbeit  pdf (12.8 MB) 
Experiment Visualization and Simulations towards a Cortical Microcircuit on the BrainScaleS Neuromorphic Hardware
Jonas Weidner
Bachelorarbeit    pdf (7.7 MB) 
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network
Timo C. Wunderlich, Akos F. Kungl, Eric Müller, Johannes Schemmel, Mihai Petrovici
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation (2019) 
arXiV   Poster (5.1 MB)  Springer Link  
Deep reinforcement learning in a time-continuous model
Akos F. Kungl, Dominik Dold, Oskar Riedler, Mihai A. Petrovici, Walter Senn
Bernstein Conference - Berlin, 2019  
Poster (3.5 MB)  Abstract (209.8 kB) 
Improving the BrainScaleS-1 place and route software towards real world waferscale experiments
Felix Constantin Passenberg
Masterarbeit  pdf (9.1 MB) 
Implementing spike-based tempering on the BrainScaleS-1 mixed-signal neuromorphic system
Madison Cotteret
Masterarbeit  pdf (8.3 MB) 
Development of a Communication Framework for the ANANAS System
Daniel Barley
Bachelorarbeit 
Training Deep Networks with Time-to-First-Spike Coding on the BrainScaleS Wafer-Scale System
Julian Göltz
Masterarbeit  pdf (38.2 MB) 
Characterizing the Event Interface of the HICANN-X
Marco Rettig
Bachelorarbeit  pdf (4.2 MB) 
Accelerated physical emulation of Bayesian inference in spiking neural networks
Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Frontiers in Neuroscience 13 (2019) 1201 
pdf (13.7 MB)  Journal Publication   arXiv    
Biological solutions to the mixing problem (2019 IRCN best poster award)
Luziwei Leng, Agnes Korcsák-Gorzó, Oliver Breitwieser, Roman Martel, Ilja Bytschok, Walter Senn, Johannes Bill, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
2019 IRCN poster 
Structural Plasticity for Feature Selection in Auditory Stimuli on Neuromorphic Hardware
Markus Kreft
Bachelorarbeit  pdf (3.9 MB) 
Experiments on Next-generation BrainScaleS
Eric Müller
Gehirnähnliche Computer - Computers like Brains
Andreas Baumbach
TNG OpenTechDay, 26.07.19 
Magnetic phenomena in ensembles of spiking neurons
Andreas Baumbach, Johannes Schemmel, Mihai Petrovici
Bernstein Conference - Berlin, 2019  
pdf (2.5 MB)  Bernstein Abstract  
Demonstrating Advantages of Neuromorphic Computation
Timo Wunderlich
Masterarbeit  pdf (4.4 MB) 
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
Sebastian Billaudelle*, Yannik Stradmann*, Korbinian Schreiber*, Benjamin Cramer*, Andreas Baumbach*, Dominik Dold*, Julian Göltz*, Akos F. Kungl*, Timo C. Wunderlich*, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici^, Johannes Schemmel^, Karlheinz Meier^
2020 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1-5). IEEE 
IEEE   pdf (919.3 kB)  ArXiv  
Structural plasticity on an accelerated analog neuromorphic hardware system
Sebastian Billaudelle* and Benjamin Cramer* and Mihai A. Petrovici and Korbinian Schreiber and David Kappel and Johannes Schemmel^ and Karlheinz Meier^
Neural Networks (2021) 11-20 
pdf (2 MB)  Neural Networks   ArXiv  
Fast and deep neuromorphic learning with time-to-first-spike coding
Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Akos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai Alexandru Petrovici
arXiv preprint arXiv:1912.11443 
pdf (5.8 MB)  ArXiv  
Towards Balanced Random Networks on the BrainScaleS I System
Schwarzenböck, Quirinus
Bachelorarbeit  pdf (922.4 kB) 
Lagrangian dynamics of dendritic microcircuits enables real-time backpropagation of errors
Dominik Dold, Akos F. Kungl, João Sacramento, Mihai A. Petrovici, Kaspar Schindler, Jonathan Binas, Yoshua Bengio, Walter Senn
Cosyne abstracts 2019, Lisbon, Portugal 
Cosyne 2019   pdf (390.3 kB) 
Error-driven learning supports Bayes-optimal multisensory integration via conductance-based dendrites
Jakob Jordan, João Sacramento, Mihai A Petrovici, Walter Senn
Cosyne abstracts 2019, Lisbon, Portugal 
Cosyne 2019   pdf (330.6 kB) 
Verification of a Parameterizable JTAG Driver Module
Marco Rettig
pdf (1.3 MB) 
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
Timo Wunderlich, Akos F. Kungl, Eric Müller, Andreas Hartel, Yannik Stradmann, Syed Ahmed Aamir, Andreas Grübl, Arthur Heimbrecht, Korbinian Schreiber, David Stöckel, Christian Pehle, Sebastian Billaudelle, Gerd Kiene, Christian Mauch, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Frontiers in Neuroscience 
Frontiers   pdf (3.6 MB) 
Stochasticity from function - why the Bayesian brain may need no noise
Dominik Dold*, Ilja Bytschok*, Akos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici*
Neural Networks 119 (2019) 
Neural Networks   arXiv   pdf (8.8 MB) 
Deterministic networks for probabilistic computing
Jakob Jordan, Mihai A. Petrovici, Oliver Breitwieser, Johannes Schemmel, Karlheinz Meier, Markus Diesmann, Tom Tetzlaff
Scientific Reports 9, 18303 (2019) 
Scientific Reports   arXiv link  
Design and Implementation of a Transport Layer for the Extoll Network Interface in the BrainScaleS Neuromorphic Computing Platform
Niels Buwen
Masterarbeit 
  2018
On-chip calibration of analog neuromorphic circuits
Aron Leibfried
Bachelorarbeit  pdf (1.7 MB) 
Visualization of Mapping and Routing of the BrainScaleS System
Richard Boell
Bachelorarbeit  pdf (37.1 MB) 
Visualizing the HICANN Wafer
Richard Boell
pdf (4.9 MB) 
Solving Map Coloring Problems on Analog Neuromorphic Hardware
Jörg Steidel
Bachelorarbeit  pdf (1.5 MB) 
Spiking neurons with short-term synaptic plasticity form superior generative networks
Luziwei Leng*, Roman Martel, Oliver Breitwieser, Ilja Bytschok, Walter Senn, Johannes Schemmel, Karlheinz Meier & Mihai A. Petrovici*
Scientific Reports 8, 10651 (2018) 
Scientific Reports   arXiv link  
Firmware Upgrade des PowerIt
Patrick Nisble
pdf (3 MB) 
Characterization of a PLL circuit used on a 65 nm analog Neuromorphic Hardware System
Aron Leibfried
pdf (1.5 MB) 
Mixed-Signal Circuit Implementation of Spiking Neuron Models
Syed Ahmed Aamir
Dissertation  KITopen link  
Spatio-Temporal Predictions with Spiking Neural Networks
Maximilian Zenk
Masterarbeit 
A Markovian Model of LIF Networks
Nico Gürtler
Masterarbeit 
An Accelerated LIF Neuronal Network Array for a Large Scale Mixed-Signal Neuromorphic Architecture
Syed Ahmed Aamir*, Yannik Stradmann*, Paul Müller, Christian Pehle, Andreas Hartel, Andreas Grübl, Johannes Schemmel and Karlheinz Meier
IEEE Transactions on Circuits and Systems I: Regular Papers  
arXiv pre-print   pdf  
A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores
Syed Ahmed Aamir, Paul Müller, Gerd Kiene, Laura Kriener, Yannik Stradmann, Andreas Grübl, Johannes Schemmel and Karlheinz Meier
IEEE Transactions on Biomedical Circuits and Systems  
arXiv pre-print   pdf  
Design and Implementation of an EXTOLL Network-Interface for the Communication FPGA in the BrainScaleS Neuromorphic Computing System
Tobias Thommes
Masterarbeit  pdf (50.2 MB) 
Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain
Thakur, Chetan Singh and Molin, Jamal Lottier and Cauwenberghs, Gert and Indiveri, Giacomo and Kumar, Kundan and Qiao, Ning and Schemmel, Johannes and Wang, Runchun and Chicca, Elisabetta and Olson Hasler, Jennifer and Seo, Jae-sun and Yu, Shimeng and Cao, Yu and van Schaik, André and Etienne-Cummings, Ralph
Frontiers in Neuroscience 12 (2018) 891 
arXiv   Journal Publication   pdf (8.3 MB) 
How to use the embedded processor on BrainScaleS-2 — Structural plasticity, virtual environments, …
Eric Müller
Experiments on Second-Generation BrainScaleS Prototypes
Eric Müller
Dynamics of Large-scale Spiking Neural Networks
Eric Müller
Neuromorphic Computing & Synergies with HPC
Eric Müller
Training and deployment of hierarchical inference networks on a physical neuromorphic substrate
Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Bernstein Conference - 2018 Berlin 
Abstract   pdf (7.3 MB) 
Generative models on accelerated neuromorphic hardware
Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
CNS - Computational Neuroscience Conference - 2018 Seattle 
pdf (7.3 MB)  BMC Neuroscience 2018, 19(Suppl 2):P154  
Magnetic Phenomena in Spiking Neural Networks
A. Baumbach, A. F. Kungl, M. A. Petrovici, J. Schemmel, K. Meier
Fruehjahrstagung der DPG 
DPG Verhandlungen   pdf (1.9 MB) 
Spike-based Expectation Maximization on the HICANN-DLSv2 Neuromorphic Chip
Philipp Spilger
Bachelorarbeit  pdf (1.8 MB) 
Towards a parametrisable switch for Neuromorphic hardware
Lea Kanzleiter
pdf (1.5 MB) 
A Parametrizable Switch For Neuromorphic Hardware
Lea Kanzleiter
Bachelorarbeit  pdf (4.7 MB) 
Integration of the Slurm workload manager into the BrainScaleS monitoring platform
Patrick Häussermann
Bachelorarbeit  pdf (1.6 MB) 
Design of a Serial Peripheral Interface (SPI) Master for the ANANAS FPGA
Simon Rosenkranz
pdf (1.9 MB) 
Development of a Modern Monitoring Platform for the BrainScaleS System
Daniel Kutny
Bachelorarbeit  pdf (2.8 MB) 
Calibration of the Analog HICANN Readout Process
Simon Rosenkranz
Bachelorarbeit  pdf (4.4 MB) 
Towards Spike–based Expectation Maximization in a Closed–Loop Setup on an Accelerated Neuromorphic Substrate
Felix Schneider
Bachelorarbeit  pdf (1.3 MB) 
Solving the Constraint Satisfaction Problem Sudoku on Neuromorphic Hardware
Alexander Kugele
Masterarbeit  pdf (11.3 MB) 
Measurement and evaluation of short-term plasticity on neuromorphic hardware
Stephen Schaumann
Bachelorarbeit 
Calibration and Regulation of a Power Supply in the BrainScaleS System
Patrick Nisble
Bachelorarbeit  pdf (12.6 MB) 
Characterization and Calibration of Synaptic Plasticity on Neuromorphic Hardware
Johannes Weis
Bachelorarbeit  pdf (1.5 MB) 
  2017
Development of a digitizer for the BrainScaleS neuromorphic hardware system
Joscha Ilmberger
Masterarbeit 
Accelerated Classification in Hierarchical Neural Networks on Neuromorphic Hardware
Carola Fischer
Bachelorarbeit 
Stochastic computation on spiking neuromorphic hardware
Dominik Dold, Ákos F. Kungl, Andreas Baumbach, Johann Klähn, Ilja Bytschok, Paul Müller, Oliver Breitwieser, Andreas Grübl, Maurice Güttler, Dan Husmann, Mitja Kleider, Christoph Koke, Alexander Kugele, Christian Mauch, Eric Müller, Sebastian Schmitt, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Bernstein Conference 2017 
figure (382.5 kB)  poster (2.2 MB)  abstract  
From LIF to AdEx Neuron Models: Accelerated Analog 65 nm CMOS Implementation
Syed Ahmed Aamir* , Paul Müller*, Laura Kriener, Gerd Kiene, Johannes Schemmel and Karlheinz Meier
Accepted at 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) 
pdf  
Design and Implementation of a Short Term Plasticity Circuit for a 65 nm Neuromorphic Hardware System
Sebastian Billaudelle
Masterarbeit 
Mixed-Signal Neuron and Readout Circuits for a Neuromorphic System
Gerd Kiene
Masterarbeit 
Spike-based probabilistic inference with correlated noise
Ilja Bytschok, Dominik Dold, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
BMC Neuroscience 2017, 18 (Suppl 1):P200 
Poster pdf (2.6 MB)  Figure 1 (110.1 kB)  arXiv Link  
Computing with noise in spiking neural networks
Ilja Bytschok
Dissertation  HeiDOK Link  
Design und Charakterisierung einer Routing-Schnittstelle für Neuromorphe Hardware
Alexander Schmidt
Bachelorarbeit  pdf (589.1 kB) 
Compiler Support for the BrainScaleS Plasticity Processor
Arthur Heimbrecht
Bachelorarbeit  pdf (2.2 MB) 
Characterization of Single-Neuron Dynamics in the Development of Neuromorphic Hardware
Laura Kriener
Masterarbeit  pdf (4.1 MB) 
Device Variability in Synapses of Neuromorphic Circuits
Christoph Koke
Dissertation  HeiDOK Link  
An Accelerated Analog Neuromorphic Hardware System Emulating NMDA- and Calcium-Based Non-Linear Dendrites
Johannes Schemmel, Laura Kriener, Paul Müller, Karlheinz Meier
Proceedings of the 2017 IEEE International Joint Conference on Neural Networks 
IEEE Xplore   arXiv link  
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System
Sebastian Schmitt*, Johann Klaehn*, Guillaume Bellec, Andreas Gruebl, Maurice Guettler, Andreas Hartel, Stephan Hartmann, Dan Husmann, Kai Husmann, Vitali Karasenko, Mitja Kleider, Christoph Koke, Christian Mauch, Eric Mueller, Paul Mueller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Proceedings of the 2017 IEEE International Joint Conference on Neural Networks 
IEEE Xplore   arXiv link  
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware
Mihai A. Petrovici*, Anna Schroeder*, Oliver Breitwieser, Andreas Grübl, Johannes Schemmel, Karlheinz Meier
Proceedings of the 2017 IEEE International Joint Conference on Neural Networks 
IEEE Xplore   arXiv link  
Pattern representation and recognition with accelerated analog neuromorphic systems
Mihai A. Petrovici*, Sebastian Schmitt*, Johann Klähn*, David Stöckel*, Anna Schroeder*, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Proceedings of the 2017 IEEE International Symposium on Circuits and Systems (ISCAS) 
IEEE Xplore   arXiv link  
Simulating Without a Computer — Physical Models of Neural Circuits
Eric Müller
Full Wafer Redistribution and Wafer Embedding as Key Technologies for a Multi-Scale Neuromorphic Hardware Cluster
Kai Zoschke, Maurice Güttler, Lars Böttcher, Andreas Grübl, Dan Husmann, Johannes Schemmel, Karlheinz Meier, Oswin Ehrmann
arXiv:1801.04734 
download via arxiv  
Bayesian computing with spikes
A. Baumbach, M. A. Petrovici, L. Leng, O. J. Breitwieser, D. Stoeckel, I. Bytschok, J. Schemmel, K. Meier
1st HBP Student Conference 
pdf (3.7 MB) 
Neuron Circuit Characterization in a Neuromorphic System
Mitja Kleider
Dissertation  heiDOK  
Simulated Tempering in Spiking Neural Networks
Agnes Korcsak-Gorzo
Masterarbeit  pdf (2.9 MB) 
Simulated Tempering in Biologically Inspired Neural Networks
Agnes Korcsak-Gorzo, Luziwei Leng, Oliver Julien Breitwieser, Johannes Schemmel, Karlheinz Meier, Mihai Alexandru Petrovici
Deutsche Physikerinnentagung 
Programmheft Deutsche Physikerinnentagung  
Achieving a Higher Integration Level of Neuromorphic Hardware using Wafer Embedding
Gilbert Maurice Güttler
Dissertation  HeiDOK Link  
Training Functional Networks on Large-Scale Neuromorphic Hardware
Johann Klähn
Masterarbeit 
Exploring Collective Neural Dynamics under Synaptic Plasticity on Neuromorphic Hardware
David Stöckel
Masterarbeit  pdf (1.2 MB) 
Modeling and Verification for a Scalable Neuromorphic Substrate
Paul Müller
Dissertation  http://www.ub.uni-heidelberg.de/archiv/23716    
Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System
Friedmann, Schemmel, Grübl, Hartel, Hock, Meier
IEEE Transactions on Biomedical Circuits and Systems 
The Effect of Asymmetric Weight Variability on Sampling Processes based on Boltzmann Machines in Neuromorphic Hardware Applications
Jannik Fehre
Bachelorarbeit  pdf (1.5 MB) 
  2016
Synaptic Calibration on the HICANN-DLS Neuromorphic Chip
Timo Wunderlich
Bachelorarbeit  pdf (1.9 MB) 
Stochastic inference with spiking neural networks
Mihai A. Petrovici*, Luziwei Leng*, Oliver Breitwieser*, David Stöckel*, Ilja Bytschok, Roman Martel, Johannes Bill, Johannes Schemmel, Karlheinz Meier
BMC Neuroscience 2016, 17(Suppl 1):P96 
Poster (3.5 MB)  Abstract (1.2 MB) 
Towards Fast Iterative Learning On The BrainScaleS Neuromorphic Hardware System
Lukas Pilz
Bachelorarbeit  pdf (2.4 MB) 
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
Alexander Serb, Johannes Bill, Ali Khiat, Radu Berdan, Robert Legenstein and Themis Prodromakis
Nature Communications 7 (2016) 12611 
PDF from publisher  
Characterization and Calibration of a Mixed-Signal Leaky Integrate and Fire Neuron on HICANN-DLS
Yannik Stradmann
Bachelorarbeit  pdf (1.4 MB) 
Stochastic Computation in Spiking Neural Networks Without Noise
Dominik Dold
Masterarbeit 
Struktur schafft Robustheit: Eine Untersuchung hierarchischer neuronaler Netzwerke mit unpräzisen Komponenten
Anna Schroeder
Bachelorarbeit 
Sampling with leaky integrate-and-fire neurons on the HICANNv4 neuromorphic chip
Akos Kungl
Masterarbeit 
A highly tunable 65-nm CMOS LIF neuron for a large scale neuromorphic system
Syed Ahmed Aamir, Paul Müller, Andreas Hartel, Johannes Schemmel and Karlheinz Meier
Proceedings of IEEE European Solid-State Circuits Conference 
download pdf    
Stochastic inference with spiking neurons in the high-conductance state
Mihai A. Petrovici*, Johannes Bill*, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier
Physical Review E 94, 042312 (2016) 
arXiv   Online article  
Magnetic Phenomena in Spiking Neural Networks
Baumbach, Andreas
Masterarbeit 
Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study
Thomas Pfeil and Jakob Jordan and Tom Tetzlaff and Andreas Grübl and Johannes Schemmel and Markus Diesmann and Karlheinz Meier
Phys. Rev. X 6 (2016) 021023 
PhysRevX.6.021023  
Form Versus Function: Theory and Models for Neuronal Substrates
Mihai A. Petrovici
Springer Theses 
M. A. Petrovici - Form vs. Function - Springer Theses  
Commissioning of a Neuromorphic Computing Platform
Christian Mauch
Masterarbeit  pdf (11.2 MB) 
The influence of noise on the event-driven contrastive divergence algorithm
Alexander Bigalke
Neural Sampling with Linear Feedback Shift Registers as a Source of Noise
Marcel Großkinsky
Bachelorarbeit  pdf (985.4 kB) 
Spiking neural networks as superior generative and discriminative models
Luziwei Leng*, Mihai A. Petrovici*, Roman Martel, Ilja Bytschok, Oliver Breitwieser, Johannes Bill, Johannes Schemmel, Karlheinz Meier
Cosyne Abstracts 2016, Salt Lake City USA 
poster (3.4 MB)  abstract (468 kB) 
Commissioning of an FPGA-based prototyping environment for neuromorphic hardware
Jan Debus
Bachelorarbeit  pdf (2.5 MB) 
Implementation and Characterization of Mixed-Signal Neuromorphic ASICs
Hartel, Andreas
Dissertation  HeiDOK Link  
Charakterisierung und Vergleich von zwei ADC-Modulen für das Brainscales Hardware System
Bernard Epp
Bachelorarbeit  pdf (2.8 MB) 
  2015
Fast sampling with neuromorphic hardware
Mihai A. Petrovici*, David Stöckel*, Ilja Bytschok, Johannes Bill, Thomas Pfeil, Johannes Schemmel, Karlheinz Meier
Advances in Neural Information Processing Systems (NIPS) 2015 
Poster (3.7 MB)  NIPS demo page  
Deterministic neural networks as sources of uncorrelated noise for probabilistic computations
Jakob Jordan, Tom Tetzlaff, Mihai Petrovici, Oliver Breitwieser, Ilja Bytschok, Johannes Bill, Johannes Schemmel, Karlheinz Meier and Markus Diesmann
BMC Neuroscience 2015, 16(Suppl 1):P62 
Poster (821.8 kB)  BMC short abstract  
The high-conductance state enables neural sampling in networks of LIF neurons
Mihai A. Petrovici, Ilja Bytschok, Johannes Bill, Johannes Schemmel and Karlheinz Meier
BMC Neuroscience 2015, 16(Suppl 1):O2 
extended abstract (577.2 kB)  BMC short abstract   Online Access  
Generative Properties of LIF-based Boltzmann Machines
Roman Martel
Masterarbeit  pdf (18 MB) 
Towards a Neuromorphic Implementation of Spike-Based Expectation Maximization
Oliver Breitwieser
Masterarbeit  pdf (11.4 MB) 
Form vs. Function - Theory and Models for Neuronal Substrates
Mihai A. Petrovici
Dissertation  UB Archiv  
Investigating Competitive Dynamics in a Recurrent Neural Network on Neuromorphic Hardware
Denis Alevi
Bachelorarbeit  pdf (938.2 kB) 
Characterization of Spike-Timing Dependent Plasticity in Neuromorphic Hardware
Tobias Nonnenmacher
Masterarbeit 
Firing States of Recurrent Leaky Integrate-and-Fire Networks
Agnes Korcsak-Gorzo
Bachelorarbeit 
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons
Dimitri Probst*, Mihai A. Petrovici*, Ilja Bytschok, Johannes Bill, Dejan Pecevski, Johannes Schemmel, Karlheinz Meier
Frontiers in Computational Neurocience (February 2015) 
Online Article  
Exploring the potential of brain-inspired computing
Thomas Pfeil
Dissertation  pdf (9.6 MB)  HeiDOK Link  
Charakterisierung von Adaption auf neuromorpher Hardware
Arno Friedrich
Bachelorarbeit  pdf (7.1 MB) 
Boltzmann Sampling with Neuromorphic Hardware
David Stöckel
Bachelorarbeit  pdf (817 kB) 
  2014
Novel Operation Modes of Accelerated Neuromorphic Hardware
Eric Christian Müller
Dissertation  pdf (9.5 MB) 
Automated Characterization of a Wafer-Scale Neuromorphic Hardware System
Dominik Schmidt
Masterarbeit  pdf (2.7 MB) 
Characterisation and Calibration of Short Term Plasticity on a Neuromorphic Hardware Chip
Sebastian Billaudelle
Bachelorarbeit  pdf (497.4 kB) 
Binaural Sound Localization on Neuromorphic Hardware
Laura Kriener
Bachelorarbeit  pdf (2.3 MB) 
Interfacing a Neuronal Accelerator to a High Performance Computing System
Fynn Beuttenmüller
Bachelorarbeit  pdf (8.8 MB) 
Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms
Mihai A. Petrovici, Bernhard Vogginger, Paul Müller, Oliver Breitwieser, Mikael Lundqvist, Lyle Muller, Matthias Ehrlich, Alain Destexhe, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier
PLOS ONE (2014) 
Online Article  
A communication infrastructure for a neuromorphic system
Vitali Karasenko
Masterarbeit  pdf (4.1 MB) 
Software Development in the Context of Dendrite Membrane Simulation
David Hinrichs
Bachelorarbeit  pdf (732.4 kB)  thesis_hinrichs  
Evaluating the Synaptic Input of a Neuromorphic Circuit
Gerd Kiene
Bachelorarbeit  pdf (1.2 MB) 
A Scalable Workflow for a Configurable Neuromorphic Platform
Sebastian Jeltsch
Dissertation  pdf (12.7 MB)  dissertation_sebastian_jeltsch  
Development of a multichannel voltage generation unit with sub-microvolt precision
Joscha Ilmberger
Bachelorarbeit 
A Neural Implementation of Probabilistic Inference in Binary Probability Spaces
Dimitri Probst
Masterarbeit  pdf (5.4 MB) 
Deep Learning Architectures for Neuromorphic Hardware
冷卢子未 Luziwei Leng
Masterarbeit  pdf (7.6 MB) 
Testen eines Floating-Gate Analogspeichers in 65nm Single-Poly Technologie
Stanislaw Hüll
Bachelorarbeit  pdf (919.7 kB) 
Computation of Population Rates in Asynchronous Irregular States
Agnes Korcsak-Gorzo
A communication infrastructure for a neuromorphic system
Vitali Karasenko
Masterarbeit  pdf (4.1 MB) 
Modern semiconductor technologies for neuromorphic hardware
Matthias Hock
Dissertation    http://www.ub.uni-heidelberg.de/archiv/17129   pdf (15.9 MB) 
A neuromorphic network for generic multivariate data classification
Michael Schmuker, Thomas Pfeil and Martin Paul Nawrot
Proceedings of the National Academy of Sciences (2014) 
Online Access  
Testen der Software und Vermessen des Multi-Compartment Chips
Maximilian Denne
Bachelorarbeit  pdf (2.1 MB) 
  2013
Vergleich der Executable System Specification mit neuromorpher Hardware über eine gemeinsame Bedienungsschnittstelle
Constantin Pape
Bachelorarbeit  pdf (3.7 MB) 
Reward-based learning under hardware constraints - Using a RISC processor embedded in a neuromorphic substrate
Simon Friedmann, Nicolas Frémaux, Johannes Schemmel, Wulfram Gerstner, and Karlheinz Meier
Frontiers in Neuroscience Vol. 7 (2013) 160 
Fulltext and PDF  
Reproducing Biologically Realistic Regimes on a Highly-Accelerated Neuromorphic Hardware System
Marc-Olivier Schwartz
Dissertation  Abstract and full text download (3.2 MB) 
A new approach to learning in neuromorphic hardware
Friedmann, Simon
Dissertation  UBHD-67463947  
Neuromorphic Learning towards Nano Second Precision
Thomas Pfeil, Anne-Christine Scherzer, Johannes Schemmel and Karlheinz Meier
Proceedings of International Joint Conference on Neural Networks, Dallas, Texas, USA, August 4-9, 2013, IEEE Press (2013), pp. 1-5 
Online Access  
Integration einer automatisierten analogen und erweiterbaren Testumgebung zur Validierung und Überwachung von Hardware und Software Frameworks
Alexander Gorel
Bachelorarbeit  pdf (3.9 MB) 
Demonstrationsexperimente auf neuromorpher Hardware
Binh Tran
Bachelorarbeit  pdf (1.4 MB) 
Phase-Locking on Neuromorphic Hardware
Anne-Christine Scherzer
Bachelorarbeit  Bachelorarbeit Anne-Christine Scherzer (2.1 MB) 
An analog dynamic memory array for neuromorphic hardware
Matthias Hock, Andreas Hartel, Johannes Schemmel, Karlheinz Meier
Circuit Theory and Design (ECCTD), 2013 European Conference on  
http://dx.doi.org/10.1109/ECCTD.2013.6662229  
Untersuchung und Management von Synapsendefektverteilungen in einem großskaligen neuromorphen Hardwaresystem
Johann Klähn
Bachelorarbeit 
A Raspberry Pi controlling neuromorphic hardware
Markus Hellenbrand
Bachelorarbeit  A Raspberry Pi controlling neuromorphic hardware (1.4 MB) 
Stochastic inference with deterministic spiking neurons
Mihai A. Petrovici*, Johannes Bill*, Ilja Bytschok, Johannes Schemmel, Karlheinz Meier
arXiv:1311.3211 
Full Paper (1.1 MB)  Online Article  
Optimierung der physikalischen Signalübertragung auf neuromorpher Hardware
Simon Ziegler
Bachelorarbeit  pdf (3 MB) 
Characteristics of STDP on the Spikey neuromorphic hardware system
Marten Ole Schmidt
Bachelorarbeit  Bachelorarbeit Marten Ole Schmidt (1.8 MB) 
Six networks on a universal neuromorphic computing substrate
Thomas Pfeil, Andreas Grübl, Sebastian Jeltsch, Eric Müller, Paul Müller, Mihai A. Petrovici, Michael Schmuker, Daniel Brüderle, Johannes Schemmel, Karlheinz Meier
Front. Neurosci. vol. 7, no. 11, 2013 
Online Access  
  2012
Live demonstration: A scaled-down version of the BrainScaleS wafer-scale neuromorphic system
Schemmel, J. and Grubl, A. and Hartmann, S. and Kononov, A. and Mayr, C. and Meier, K. and Millner, S. and Partzsch, J. and Schiefer, S. and Scholze, S. and Schuffny, R. and Schwartz, M.
2012 IEEE International Symposium on Circuits and Systems (ISCAS), p702 
Online Access  
Development of a Multi-Compartment Neuron Model Emulation
Sebastian Millner
Dissertation  Abstract and full text download  
Parameteroptimierung für Adaptive Exponential Integrate-and-Fire Neuronen
Sebastian Lackner
Bachelorarbeit  Bachelorarbeit Sebastian Lackner (1.5 MB) 
Calibration of Synaptic Drivers on the Spikey Chip
Venelin Petkov
Calibration of Synaptic Drivers on the Spikey Chip (395.4 kB) 
Towards biologically realistic multi-compartment neuron model emulation in analog VLSI
Sebastian Millner, Andreas Hartel, Johannes Schemmel, Karlheinz Meier
ESANN2012 20th European Symposium on Artificial Neural Networks Bruges, Belgium, April 25-26-27 
ES2012-44  
Toward Belief Propagation on Neuromorphic Hardware
Venelin Petkov
Diplomarbeit  vpetkov_diplom.pdf (12.3 MB) 
Distanzmaße für Spiketrains im Rahmen der Optimierung von Neuronparametern
Jonathan Born
Bachelorarbeit  Bachelorarbeit Jonathan Born (1.2 MB) 
Handling Spike Data in an Accelerated Neuromorphic System
Kai-Hajo Husmann
Bachelorarbeit  pdf (2.6 MB) 
Feasibility Study On Declarative Routing For Neuromorphic Hardware
Ioannis Kokkinos
Diplomarbeit  Diplomarbeit-Ioannis_Kokkinos (807.7 kB) 
Is a 4-bit synaptic weight resolution enough? - Constraints on enabling spike-timing dependent plasticity in neuromorphic hardware
Thomas Pfeil, Tobias C. Potjans, Sven Schrader, Wiebke Potjans, Johannes Schemmel, Markus Diesmann, Karlheinz Meier
Frontiers in Neuroscience 6:90 (2012) 
Online Article  
  2011
From Shared Input to correlated Neuron Dynamics: Development of a Predictive Framework
Ilja Bytschok
Diplomarbeit  Ilja Bytschok Diploma Thesis (8.6 MB)   
Testing of an Analog Neuromorphic Network Chip
Alexander Kononov
Diplomarbeit  pdf (6.1 MB) 
Analysis of the Liquid Computing Paradigm on a Neuromorphic Hardware System
Dimitri Probst
Bachelorarbeit  bachelorthesis dimitri probst (5.8 MB) 
Configuration Strategies for Neurons and Synaptic Learning in Large-Scale Neuromorphic Hardware Systems
Thomas Pfeil
Diplomarbeit  Diploma thesis Thomas Pfeil (3.4 MB) 
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems
Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller and Marc-Olivier Schwartz, et al.
Biological Cybernetics 
Online Article  
Entwicklung und Aufbau einer anwenderfreundlichen Hardwareumgebung für ein neuromorphes Chipsystem
Ranjeet Kuruvilla
Diplomarbeit  Diplomarbeit (5.5 MB) 
Investigation of a Cortical Attractor-Memory Network
Oliver Breitwieser
Bachelorarbeit  pdf (14.2 MB) 
Distortions of Neural Network Models Induced by Their Emulation on Neuromorphic Hardware Devices
Paul Müller
Diplomarbeit  diplomathesis-paul-mueller.pdf (10.3 MB) 
  2010
Testing the Accuracy of Neuromorphic Device Configurations
Alexander Müller-Brand
Bachelorarbeit  backelorthesis_mueller_brand (16.4 MB) 
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
Sebastian Millner, Andreas Grübl, Karlheinz Meier, Johannes Schemmel, Marc-Olivier Schwartz
Advances in Neural Information Processing Systems  
Fulltext PDF  
Konzeptoptimierung und Entwicklung einer hochintegrierten Leiterplatte
Maurice Güttler
Diplomarbeit  Diplomarbeit (9.5 MB) 
Computing with Transient States on a Neuromorphic Multi-Chip Environment
Sebastian Jeltsch
Diplomarbeit  diplomathesis sebastian jeltsch (10.1 MB) 
Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity
Johannes Bill, Klaus Schuch, Daniel Brüderle, Johannes Schemmel, Wolfgang Maass and Karlheinz Meier
Frontiers in Computational Neuroscience 4:129 (2010) 
Fulltext PDF (2 MB) 
Liquid Computing mit Neuromorpher Hardware
Marvin Albert
Bachelorarbeit  Bachelorarbeit (1.4 MB) 
A software framework for mapping neural networks to a wafer-scale neuromorphic hardware system
Matthias Ehrlich, Karsten Wendt, Lukas Zühl, Rene Schüffny, Daniel Brüderle, Eric Müller and Bernhard Vogginger
Proceedings of the 2010 Artificial Neural Networks and Intelligent Information Processing Conference (ANNIIP) 
Fulltext PDF (557.5 kB) 
A common language for neuronal networks in software and hardware
Andrew Davison, Eilif Muller, Daniel Brüderle and Jens Kremkow
The Neuromorphic Engineer  
Online Article  
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 (Copyright: IEEE) 
Fulltext PDF (1.5 MB) 
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 (Copyright: IEEE) 
Fulltext PDF (662.5 kB) 
Improving and Testing a Mixed-Signal VLSI Neural Network Chip
Andreas Hartel
Diplomarbeit  Diplomarbeit (3.4 MB) 
Testing the Operation Workflow of a Neuromorphic Hardware System with a Functionally Accurate Model
Bernhard Vogginger
Diplomarbeit  Diplomarbeit B. Vogginger (10.4 MB) 
A Highly Efficient Transport Layer for the Connection of Neuromorphic Hardware Systems
Moritz Schilling
Diplomarbeit  Diploma-Thesis (1.1 MB) 
  2009
Extending a Hardware Neural Network Beyond Chip Boundaries
Simon Friedmann
Diplomarbeit  Diploma_Thesis_Simon_Friedmann.pdf (1.4 MB) 
Test of Components for a Wafer-Scale Neuromorphic Hardware System
Matthias Hock
Diplomarbeit  Diploma_Thesis_Matthias_Hock.pdf (4.1 MB) 
A QoS Network Architecture to Interconnect Large-Scale VLSI Neural Networks
Stefan Philipp, Karlheinz Meier, Johannes Schemmel
In Proc. of the 2009 International Joint Conference on Neural Networks (IJCNN"2009), Atlanta, Georgia, USA, June 2009, pp. 2525-2532 
Paper (pdf) (842.6 kB) 
Neuroscientific Modeling with a Mixed-Signal VLSI Hardware System
Daniel Brüderle
Dissertation  Abstract and Full Text Download  
High-Conductance States on a Neuromorphic Hardware System
Bernhard Kaplan, Daniel Brüderle, Johannes Schemmel and Karlheinz Meier
Proceedings of International Joint Conference on Neural Networks, Atlanta, Georgia, USA, June 14-19, 2009 
Fulltext (227.1 kB) 
Entwicklung und Testergebnisse eines Prototypensystems für die Wafer-Scale-Integration
Holger Zoglauer
Diplomarbeit  Entwicklung eines Prototypensystems für die Wafer-Scale-Integration (14.2 MB) 
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
Front. Neuroinform. 3:17 (2009) 
abstract and download  
  2008
Entwurf und Implementierung einer parallelen Netzwerkschnittstelle zum Betrieb Künstlicher Neuronaler Netze
Jürgen Drexler
Diplomarbeit  Diplomarbeit (27.4 MB) 
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) 
Open Access  
Self-Stabilizing Network Architectures on a Neuromorphic Hardware System
Johannes Bill
Diplomarbeit  Diplomarbeit_Johannes_Bill (12.3 MB) 
Operation Of An Imperfect Neuromorphic Hardware Device
Eric Müller
Diplomarbeit  Operation Of An Imperfect Neuromorphic Hardware Device (1.7 MB) 
Self-Organization Experiments for a Neuromorphic Hardware Device
Bernhard Kaplan
Diplomarbeit  Diplomarbeit_Bernhard_Kaplan (1.3 MB) 
Wafer-Scale Integration of Analog Neural Networks
Johannes Schemmel, Johannes Fieres, Karlheinz Meier
Proceedings IJCNN2008, IEEE Press (2008) 
paper (1.2 MB) 
Design and Implementation of a Multi-Class Network Architecture for Hardware Neural Networks
Stefan Philipp
Dissertation  Dissertation (8.1 MB) 
An Integrated Operational Amplifier for a Large Scale Neuromorphic System
Sebastian Millner
Diplomarbeit  Diplomarbeit (pdf) (934.8 kB) 
Realizing Biological Spiking Network Models in a Configurable Wafer-Scale Hardware System
Johannes Fieres, Johannes Schemmel, Karlheinz Meier
Proceedings IJCNN2008, IEEE Press (2008) 
article as pdf file (374.6 kB) 
  2007
Spike-frequency adapting neural ensembles: Beyond mean adaptation and renewal theories.
Eilif Muller, Lars Buesing, Johannes Schemmel, Karlheinz Meier
Neural Computation, 19, 2958-3010. 
http://www.mitpressjournals.org/doi/abs/10.1162/neco.2007.19.11.2958  
Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections
Stefan Philipp, Andreas Grübl, Karlheinz Meier, Johannes Schemmel
In Proc. of the 9th International Work-Conference on Artificial Neural Networks (IWANN"2007), San Sebastián, Spain, June 2007, Springer LNCS 4507, pp. 471-478 
paper (137.3 kB) 
Charakterisierung eines Neuronalen Netzwerk-Chips
Boris Ostendorf
Diplomarbeit  Diplomarbeit (4.1 MB) 
VLSI Implementation of a Spiking Neural Network
Andreas Grübl
Dissertation  Dissertation (8.2 MB) 
Implementation einer Gigabit-Ethernet-Schnittstelle zum Betrieb eines Künstlichen Neuronalen Netzwerkes
Christian Gutmann
Diplomarbeit  Diplomarbeit (2.4 MB) 
A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology
Daniel Bruederle, Andreas Gruebl, Karlheinz Meier, Eilif Mueller, and Johannes Schemmel
In Proc. of IWANN 2007, San Sebastián, Spain, June 2007, Springer LNCS 4507, pp. 479 - 486 
paper (1.1 MB) 
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 
pdf-file (731.8 kB) 
  2006
Evaluierung eines Floating Gate Analogspeichers für Neuronale Netze in Single-Poly UMC 180nm CMOS-Prozess
Jan-Peter Loock
Diplomarbeit  diplomathesis_loock (6.7 MB) 
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model
Johannes Schemmel, Andreas Gruebl, Karlheinz Meier, Eilif Mueller
Proceedings of the 2006 International Joint Conference on Neural Networks (IJCNN 2006), 1-6, IEEE Press (2006) 
schemmel_ijcnn2006 (388.7 kB) 
Evolution of Transistor Circuits
Martin Trefzer
Dissertation  Evolution of Transistor Circuits (7.7 MB) 
Training convolutional neural networks of threshold neurons suited for low-power hardware implementation
J. Fieres, J. Schemmel, K. Meier
Proceedings of the 2006 International Joint Conference on Neural Networks (IJCNN 2006), 21--28, IEEE Press (2006) 
Training convolutional neural networks of threshold neurons suited for low-power hardware implementation
J. Fieres, J. Schemmel, K. Meier
Proceedings of the 2006 International Joint Conference onNeural Networks (IJCNN 2006), 21--28, IEEE Press (2006) 
article as pdf file (213.4 kB) 
A Method for Image Classification Using Low-Precision Analog Computing Arrays
Johannes Fieres
Dissertation  Dissertation (1.7 MB) 
A convolutional neural network tolerant of synaptic faults for low-power analog hardware
J. Fieres, J. Schemmel, K. Meier
Proceedings of 2nd IAPR International Workshop on ArtificialNeural Networks in Pattern Recognition (ANNPR 2006), Springer LectureNotes in Artificial Intelligence 4087, 122--132 (2006) 
annpr06fieres.pdf (129 kB) 
Evolution in Hardware - Eine Experimentalplattform zum parallelen Training analoger neuronaler Netzwerke
Tillmann Schmitz
Dissertation  Dissertation (2.6 MB) 
Markov Process Models for Neural Ensembles with Spike-Frequency Adaptation
Eilif Benjamin Muller
Dissertation  dissertation_eilif_muller (2.1 MB)   
A Modular Framework for the Evolution of Circuits on Configurable Transistor Array Architectures
Martin Trefzer, Jörg Langeheine, Karlheinz Meier, Johannes Schemmel
Proc. of the first NASA/ESA Conference on Adaptive Hardware and Systems AHS2006, ISBN: 0-7695-2614-4, IEEE Press, pp. 32-39, 2006 
Martin Trefzer (779.1 kB) 
  2005
Operational Amplifiers: An Example for Multi-Objective Optimization on an Analog Evolvable Hardware Platform
Martin Trefzer, Jörg Langeheine, Karlheinz Meier, Johannes Schemmel
In J. Manuel Moreno and Jordi Madrenas and Jordi Cosp, editors, Proc. of ICES 2005, 6th International Conference on Evolvable Systems, ISBN: 3-540-28736-1, LNCS 3637, Springer-Verlag, pp. 86-97, 2005  
http://www.icesconference.org/   pdf (286.4 kB) 
Intrinsic Hardware Evolution on the Transistor Level
Joerg Langeheine
Dissertation  pdf (korrigierte Version) (17.4 MB)  pdf (17.4 MB) 
Exploring Liquid Computing in a Hardware Adaptation: Construction and Operation of a Neural Network Experiment
Felix Schürmann
Dissertation  pdf (11.8 MB) 
A High Dynamic Range CMOS Image Sensor with Adaptive Integration Time Control
Andreas Breidenassel
Dissertation 
Stepwise Evolutionary Training Strategies for Hardware Neural Networks
Steffen Hohmann
Dissertation  pdf (7.8 MB) 
  2004
A Flexible Scheme for Adaptive Integration Time Control
A. Breidenassel, J. Schemmel, K. Meier
IEEE Sensors conference 
pdf (719.4 kB) 
Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid
Felix Schuermann, Karlheinz Meier, Johannes Schemmel
pdf (899 kB) 
Untersuchung der durch taktile Muster evozierten Änderungen der Aktivität im Cortex mit einem pneumatischen Display
Thorsten Maucher
Dissertation  pdf (27.8 MB) 
Implementing Spike-Based Computation on a Hardware Perceptron
Daniel Brüderle
Diplomarbeit  pdf (6.1 MB) 
New Genetic Operators to Facilitate Understanding of Evolved Transistor Circuits
Martin Trefzer, Jörg Langeheine, Johannes Schemmel, Karlheinz Meier
Proc. of the NASA/DoD Conference on Evolvable Hardware (EH2004), ISBN: 0-7695-2145-2, IEEE Press, pp. 217-224, 2004 
link   trefzer.eh2004.pdf (680.6 kB) 
Intrinsic Evolution of Digital-to-Analog Converters Using a CMOS FPTA Chip
Jörg Langeheine, Karlheinz Meier, Johannes Schemmel, Martin Trefzer
Proc. of the NASA/DoD Conference on Evolvable Hardware (EH2004) , ISBN: 0-7695-2145-2, IEEE Press, pp. 18-25, 2004 
link   langeheine.eh2004.pdf (229.9 kB) 
On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA
Jörg Langeheine, Martin Trefzer, Daniel Brüderle, Karlheinz Meier,
Proc. of the Genetic and Evolutionary Computation Conferene (GECCO 2004), ISBN: 3-540-22344-4, LNCS 3102 (part I), Springer-Verlag, pp. 1316-1327, 2004 
link   langeheine.gecco2004.pdf (153.1 kB) 
A Platform for Parallel Operation of VLSI Neural Networks
J. Fieres, A. Grübl, S. Philipp, K. Meier, J. Schemmel, F. Schürmann
Brain Inspired Cognitive Systems BICS2004, University of Stirling, Scotland, UK, August 29 - September 1, 2004, in press 
Methods for Simulating High-Conductance States in Neural Microcircuits
Eilif Mueller, K. Meier, J. Schemmel
Brain Inspired Cognitive Systems BICS2004, University of Stirling, Scotland, UK, August 29 - September 1, 2004, in press 
EM_BICS2004_abstract.pdf (37.1 kB) 
A New VLSI Model of Neural Microcircuits Including Spike Time Dependent Plasticity
J. Schemmel, K. Meier, Eilif Mueller
Proceedings of the 2004 International Joint Conference on Neural Networks IJCNN"04, Budapest, Hungray, July 25.-29., pp. 1711-1716, 2004, IEEE Press 
Training Fast Mixed-Signal Neural Networks for Data Classification
S.G. Hohmann, J. Fieres, K. Meier, J. Schemmel, T. Schmitz, F. Schürmann
Proceedings of the 2004 International Joint Conference on Neural Networks IJCNN"04, Budapest, Hungray, July 25.-29., pp. 2647-2652, 2004, IEEE Press 
  2003
Klassifikation der Proteinkinase-Familie mit dem neuronalen Netzwerkchip HAGEN
Mirko Sedlacek
Diplomarbeit 
Intrinsic Evolution of Analog Electronic Circuits Using a CMOS FPTA Chip
J. Langeheine, K. Meier, J. Schemmel
Proc. of the EUROGEN 2003, Barcelona, Spain 
langeheine.eg03.pdf (677.9 kB) 
Evaluation of a Pneumatically Driven Tactile Stimulator Device for Vision Substitution During fMRI-Studies
Anne-Catherin Zappe, T. Maucher, K. Meier, C. Scheiber
Magnetic Resonance in Medicine 2003 (in press) 
Simulation of High-Conductance States in Cortical Neural Networks
Eilif Müller
Diplomarbeit  pdf (2.2 MB) 
Predicting Protein Cellular Localization Sites with a Hardware Analog Neural Network
S. G. Hohmann, J. Schemmel, F. Schürmann, K. Meier
Proc. of July 2003 Int. Joint Conf. on Neural Networks, Portland, Oregon, IEEE Press, 0-7803-7899-7, pages 381-386 
Linuximportierung auf einen eingebetteten PowerPC 405 zur Steuerung eines neuronalen Netzwerks
Alexander Sinsel
Diplomarbeit  pdf (3 MB) 
Aufbau eines binären Neocognitrons
Dominik Niedenzu
Diplomarbeit  pdf (7.1 MB) 
Interfacing Binary Networks to Multi-valued Signals
F. Schuermann, S. Hohmann, K. Meier, J. Schemmel
Proceed. of the ICANN/ICONIP 2003 
pdf (168.5 kB) 
Speeding Up Hardware Evolution: A Coprocessor for Evolutionary Algorithms
T. Schmitz, S. Hohmann, K. Meier, J. Schemmel, F. Schuermann
pdf (150.9 kB) 
A Mixed-Mode Analog Neural Network using Current-Steering Synapses
J. Schemmel, S. Hohmann, K. Meier, F. Schuermann
publ. by Kluwer Analog Integrated Circuits and Signal Processing 
Eine FPGA-basierte Plattform für neuronale Netze
Andreas Grübl
Diplomarbeit  pdf (7.6 MB) 
Design and Analysis of fMRI Experiments Probing Brain Activity Induced by Event-Related Tactile Stimulation
Anne-Catherin Zappe
Diplomarbeit  pdf (5.4 MB) 
  2002
Intrinsic Evolution of Quasi DC Solutions for Transistor Level Analog Electronic Circuits Using a CMOS FPTA
J. Langeheine, K-H. Meier, J. Schemmel
2002 NASA/DoD Conference on Evolvable Hardware 
langeheine.eh02.pdf (494.6 kB) 
Towards an Artificial Neural Network Framework
F. Schürmann, S. Hohmann, J. Schemmel, K. Meier
2002 NASA/DoD Conference on Evolvable Hardware 
Exploring the Parameter Space of a Genetic Alorithm for Training an Analog Neural Network
S. Hohmann, J. Schemmel, F. Schürmann, K. Meier
Genetic and Evolutionary Computing Conference 
hohmann_etal.pdf (249 kB) 
An Integrated Mixed-Mode Neural Network Architecture for Megasynaspe ANNs
J. Schemmel, F. Schürmann, S. Hohmann, K. Meier
World Congress of Computational Intelligence (WCC12002) 
hd_kip_02_10_schemmel.pdf (842.6 kB) 
A Scalable Switched Capacitor Realization at the Resistive Fuse Network
J. Schemmel, K. Meier, M. Loose
Anal. integrated Circuits and Signal Processing, vol 32 les. 2, Kluwer Ac. Publ. 
Entwicklung eines Sehersatzsystems für Blinde in Form eines microcontroller-gesteuerten taktilen Displays mit hoher Bildauflösung und Durchführung von Praxistests
Klaus Rieger
Diplomarbeit  pdf (216.5 MB) 
  2001
A CMOS FPTA Chip for Hardware Evolution of Analog Electronic Circuits
J. Langeheine, J. Becker, S. Fölling, K. Meier, J. Schemmel
Proc. of the Evolvable Hardware Workshop 2001, Long Beach, CA, USA 
langeheine.eh01.pdf (502.8 kB) 
A VLSI implementation of an analog neural network suited for genetic algorithms
Johannes Schemmel
pdf (552.6 kB) 
Initial studies of a new VLSI field programmable transistor array
J. Langeheine, J. Becker, S. Fölling, K. Meier, J. Schemmel
4. Int. conf. on Evolvable Systems: From Biology to Hardware (ICES 2001) 
pdf (703.8 kB) 
Magnetic source imaging of tactile evoked activity in the human secondary somatosensory cortex
Karsten Hoechstetter
Dissertation  pdf (19.7 MB) 
Ein FPGA-basiertes Testsystem für gemischt analog/digitale ASICs
Joachim Becker
Diplomarbeit  pdf (8.5 MB) 
Hard- und Software zur Videodigitalisierung und Bildverarbeitung unter Linux
Christoph Baumann
Diplomarbeit  pdf (1.2 MB)  ps.gz (3.9 MB) 
  2000
Untersuchung eines mechanischen Oszillators zur Demonstration der Schwingungsgleichung
Helge Hauptfleisch
Staatsexamensarbeit  pdf (1.4 MB) 
Design and Analysis of fMRI Experiments Probing Brain Activity Induced by Tactile Stimulation
Stefanie Runde
Diplomarbeit  pdf (1.5 MB)  ps.gz (7.1 MB) 
Towards a silicon primordial soup: A fast approach to hardware evolution with a VLSI transistor array
J. Langeheine, S. Fölling, K. Meier, J. Schemmel
In Proc. of the 3rd International Conference on Evolvable Systems: From Biology to Hardware (ICES2000) 
paper (189 kB) 
The Heidelberg Tactile Vision Substitution System
T. Maucher, J. Schemmel, K. Meier
In Proc. of the 7th International Conference on Computer Helping People with Special Needs (ICCHP 2000), July 17-21, 2000, Karlsruhe, Germany 
pdf (601.1 kB) 
The Heidelberg Tactile Vision Substitution System
T. Maucher, J. Schemmel, K. Meier
In Proc. of the 6. Int. Conference on Tactile Aids, Hearing Aids and Cochlear Implants (ISAC2000), May 23-26, 2000, University of Exeter, UK 
pdf (601.1 kB) 
A learning electronic chip: A fast approach to hardware evolution with a VLSI transistor array
J. Langeheine, S. Fölling, K. Meier, J. Schemmel
Talk given at the 237. WE-Heraeus-Seminar Semiconductor Radiation Detectors in Particle Physics and Biomedical Imaging, June 19-21, 2000, Physikzentrum Bad Honnef, Germany 
pdf (1.8 MB) 
Bau und Test eines chaotischen Pendels mit Wirbelstrombremse
Michael Oehmig
Staatsexamensarbeit  ps (12.6 MB)  Titelblatt.ps (1.1 MB)  pdf (742 kB) 
Aufbau eines kompakten Bildverarbeitungsrechners für ein taktiles Blindenhilfssystem
Holger Blinzinger
Diplomarbeit  ps.gz (5 MB)  pdf (1.6 MB) 
Aufbau und Evaluierung eines taktilen Displays
Alexander Biesinger
Diplomarbeit  pdf (1 MB)  ps.gz (7.6 MB) 
  1999
A 66 x 66 pixels analog edge detection array with digital readout
J. Schemmel, M. Loose, K. Meier
Proceedings of the 25. European Solid-State Circuits (1999) (Conference) 
pdf (162.2 kB) 
Self-calibrating logarthmic CMOS image sensor with single chip camera functionality (ps.gz)
M. Loose, K. Meier, J. schemmel
pdf (275.4 kB)  ps.gz (340.9 kB) 
A Tactile Vision Substitution System (Ed. Academic Press, Boston) ISBN 0-12-379773-X
M. Loose et al.
Ed. Academic Press, Boston 
An Integrated Analog Network for Image Processing
Johannes Schemmel
Dissertation  pdf (3.5 MB)  ps.gz (3.7 MB) 
A Self Calibrating CMOS Image Sensor with Logarithmic Response
Markus Loose
Dissertation  pdf (5.3 MB)  ps.gz (11.6 MB) 
Entwicklung eines optoelektronischen Sehhilfesystems
Lukas Schmidt-Mende
Diplomarbeit  pdf (2.3 MB)  ps.gz (5.5 MB) 
  1998
CMOS Image sensor with logarithmic response and self calibrating fixed pattern noise correction Int. Sympos. on Electronic Image Capture and Publishing
M. Loose, K. Meier, J. Schemmel
Entwicklung und Test eines taktilen Seh-Ersatzsystems
Thorsten Maucher
Diplomarbeit  Entwicklung und Test eines taktilen Seh-Ersatzsystems (14 MB - pdf-Format) (14.5 MB) 
Entwurf und Test eines optisch konfigurierbaren Widerstandsnetzwerkes
Jörg Langeheine
Diplomarbeit  ps.gz (4.1 MB)  pdf (6.9 MB) 
Simulation und Visualisierung elektrischer und optischer Eigenschaften von Halbleiterbauelementen
Peter Schneider
Diplomarbeit  ps.gz (6.5 MB)  pdf (5 MB) 
  1997
Design und Messung optoelektronischer Struktur in CMOS Technologie
Marc Teodori
Diplomarbeit  ps.gz (4.8 MB)  pdf (3.1 MB) 
Design und Test einer Single-Chip Kamera mit integrierter Analog/Digital-Wandlung auf der Basis adaptiver Photorezeptoren
Johannes Schemmel
Diplomarbeit  Titelseite (ps) (288.8 kB)  Diplomarbeit (ps.gz) (1.8 MB)  Titelseite (pdf) (44.6 kB) 
  1996
Entwicklung einer Kamera mit adaptiven Photorezeptoren in analoger CMOS Technology
M. Loose, K. Meier, J. Schemmel
ISBN 3-540-1585-7, Springer Verlag 
A Camera with adaptive Photoreceptors in analog CMOS
M. Loose, K. Meier, J. Schemmel
Vision_Camera.ps (2 MB) 
A Camera with adaptive Photoreceptors for a tactile Vision Aid
M. Loose, K. Meier, J. Schemmel
Vision_Aid.pdf (474.6 kB) 
Layout und Test eines Systems adaptiver Photorezeptoren in analoger CMOS-Technologie
Markus Loose
Diplomarbeit  ps.gz (3.4 MB) 
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