Entwicklung einer Kamera mit adaptiven Photorezeptoren in analoger CMOS-Technologie. - Markus Loose; Karlheinz Meier; Johannes Schemmel (DAGM-Symposium, 1996)

Towards a Silicon Primordial Soup: A Fast Approach to Hardware Evolution with a VLSI Transistor Array. - Jörg Langeheine; Simon Fölling; Karlheinz Meier; Johannes Schemmel (ICES, 2000)

A digitally temperature-compensated crystal oscillator. - Ralf Achenbach; Martin Feuerstack-Raible; Friedrich Hiller; Michael Keller; Karlheinz Meier; Harald Rudolph; Roland Saur-Brosch (IEEE J. Solid State Circuits, 2000)

A Cmos Fpta Chip For Intrinsic Hardware Evolution Of Analog Electronic Circuits. - Jörg Langeheine; Joachim Becker; Simon Fölling; Karlheinz Meier; Johannes Schemmel (Evolvable Hardware, 2001)

Initial Studies of a New VLSI Field Programmable Transistor Array. - Jörg Langeheine; Joachim Becker; Simon Fölling; Karlheinz Meier; Johannes Schemmel (ICES, 2001)

A VLSI Implementation of an Analog Neural Network Suited for Genetic Algorithms. - Johannes Schemmel; Karlheinz Meier; Felix Schürmann (ICES, 2001)

An interactive tactile graphics display. - Thorsten Maucher; Karlheinz Meier; Johannes Schemmel (ISSPA, 2001)

A self-calibrating single-chip CMOS camera with logarithmic response. - Markus Loose; Karlheinz Meier; Johannes Schemmel (IEEE J. Solid State Circuits, 2001)

Intrinsic Evolution of Quasi DC Solutions for Transistor Level Analog Electronic Circuits Using a CMOS FPTA Chip. - Jörg Langeheine; Karlheinz Meier; Johannes Schemmel (Evolvable Hardware, 2002)

Towards an Artificial Neural Network Framework. - Felix Schürmann; Steffen G. Hohmann; Johannes Schemmel; Karlheinz Meier (Evolvable Hardware, 2002)

Exploring The Parameter Space Of A Genetic Algorithm For Training An Analog Neural Network. - Steffen G. Hohmann; Johannes Schemmel; Felix Schürmann; Karlheinz Meier (GECCO, 2002)

Speeding up Hardware Evolution: A Coprocessor for Evolutionary Algorithms. - Tillmann Schmitz; Steffen G. Hohmann; Karlheinz Meier; Johannes Schemmel; Felix Schürmann (ICES, 2003)

Predicting protein cellular localization sites with a hardware analog neural network. - Steffen G. Hohmann; Johannes Schemmel; Felix Schürmann; Karlheinz Meier (IJCNN, 2003)

Intrinsic Evolution of Digital-to-Analog Converters Using a CMOS FPTA Chip. - Jörg Langeheine; Karlheinz Meier; Johannes Schemmel; Martin Trefzer (Evolvable Hardware, 2004)

New Genetic Operators to Facilitate Understanding of Evolved Transistor Circuits. - Martin Trefzer; Jörg Langeheine; Johannes Schemmel; Karlheinz Meier (Evolvable Hardware, 2004)

On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA. - Jörg Langeheine; Martin Trefzer; Daniel Brüderle; Karlheinz Meier; Johannes Schemmel (GECCO (1), 2004)

Training fast mixed-signal neural networks for data classification. - Steffen G. Hohmann; Johannes Fieres; Karlheinz Meier; Johannes Schemmel; Tillmann Schmitz; Felix Schürmann (IJCNN, 2004)

A new VLSI model of neural microcircuits including spike time dependent plasticity. - Johannes Schemmel; Karlheinz Meier; Eilif B. Mueller (IJCNN, 2004)

Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid. - Felix Schürmann; Karlheinz Meier; Johannes Schemmel (NIPS, 2004)

Operational Amplifiers: An Example for Multi-objective Optimization on an Analog Evolvable Hardware Platform. - Martin Trefzer; Jörg Langeheine; Karlheinz Meier; Johannes Schemmel (ICES, 2005)

A Modular Framework for the Evolution of Circuits on Configurable Transistor Array Architectures. - Martin Trefzer; Jörg Langeheine; Karlheinz Meier; Johannes Schemmel (AHS, 2006)

A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware. - Johannes Fieres; Karlheinz Meier; Johannes Schemmel (ANNPR, 2006)

Training convolutional networks of threshold neurons suited for low-power hardware implementation. - Johannes Fieres; Johannes Schemmel; Karlheinz Meier (IJCNN, 2006)

Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model. - Johannes Schemmel; Andreas Grübl; Karlheinz Meier; Eilif B. Mueller (IJCNN, 2006)

Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons. - Johannes Schemmel; Daniel Brüderle; Karlheinz Meier; Boris Ostendorf (ISCAS, 2007)

A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology. - Daniel Brüderle; Andreas Grübl; Karlheinz Meier; Eilif B. Mueller; Johannes Schemmel (IWANN, 2007)

Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections. - Stefan Philipp; Andreas Grübl; Karlheinz Meier; Johannes Schemmel (IWANN, 2007)

Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories. - Eilif B. Muller; Lars Buesing; Johannes Schemmel; Karlheinz Meier (Neural Comput., 2007)

Realizing biological spiking network models in a configurable wafer-scale hardware system. - Johannes Fieres; Johannes Schemmel; Karlheinz Meier (IJCNN, 2008)

Wafer-scale integration of analog neural networks. - Johannes Schemmel; Johannes Fieres; Karlheinz Meier (IJCNN, 2008)

High-conductance states on a neuromorphic hardware system. - Bernhard Kaplan; Daniel Brüderle; Johannes Schemmel; Karlheinz Meier (IJCNN, 2009)

A QoS network architecture to interconnect large-scale VLSI neural networks. - Stefan Philipp; Johannes Schemmel; Karlheinz Meier (IJCNN, 2009)

Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system. - Daniel Brüderle; Eric Müller 001; Andrew P. Davison; Eilif B. Müller; Johannes Schemmel; Karlheinz Meier (Frontiers Neuroinformatics, 2009)

Live demonstration: 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 001; Johannes Schemmel (ISCAS, 2010)

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 001; Johannes Schemmel (ISCAS, 2010)

A wafer-scale neuromorphic hardware system for large-scale neural modeling. - Johannes Schemmel; Daniel Brüderle; Andreas Grübl; Matthias Hock; Karlheinz Meier; Sebastian Millner (ISCAS, 2010)

A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model. - Sebastian Millner; Andreas Grübl; Karlheinz Meier; Johannes Schemmel; Marc-Olivier Schwartz (NIPS, 2010)

Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity. - Johannes Bill; Klaus Schuch; Daniel Brüderle; Johannes Schemmel; Wolfgang Maass 001; Karlheinz Meier (Frontiers Comput. Neurosci., 2010)

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 001; Marc-Olivier Schwartz; Dan Husmann de Oliveira; Sebastian Jeltsch; et al. (Biol. Cybern., 2011)

Introducing the Human Brain Project. - Henry Markram; Karlheinz Meier; Thomas Lippert; Sten Grillner; Richard S. Frackowiak; Stanislas Dehaene; Alois C. Knoll; Haim Sompolinsky; Kris Verstreken; Javier DeFelipe; Seth Grant; Jean-Pierre Changeux; et al. (FET, 2011)

How to Simulate the Brain without a Computer. - Karlheinz Meier (BICA, 2012)

Towards biologically realistic multi-compartment neuron model emulation in analog VLSI. - Sebastian Millner; Andreas Hartel; Johannes Schemmel; Karlheinz Meier (ESANN, 2012)

Live demonstration: A scaled-down version of the BrainScaleS wafer-scale neuromorphic system. - Johannes Schemmel; Andreas Grübl; Stephan Hartmann 002; Alexander Kononov; Christian Mayr 001; Karlheinz Meier; Sebastian Millner; Johannes Partzsch; Stefan Schiefer; Stefan Scholze; René Schüffny; Marc-Olivier Schwartz (ISCAS, 2012)

An analog dynamic memory array for neuromorphic hardware. - Matthias Hock; Andreas Hartel; Johannes Schemmel; Karlheinz Meier (ECCTD, 2013)

Neuromorphic learning towards nano second precision. - Thomas Pfeil; Anne-Christine Scherzer; Johannes Schemmel; Karlheinz Meier (IJCNN, 2013)

Stochastic inference with deterministic spiking neurons. - Mihai A. Petrovici; Johannes Bill; Ilja Bytschok; Johannes Schemmel; Karlheinz Meier (CoRR, 2013)

Bridging the gap between software simulation and emulation on neuromorphic hardware: An investigation of causes, effects and compensation of network-level anomalies in a mixed-signal waferscale neuromorphic modeling platform. - Mihai A. Petrovici; Bernhard Vogginger; Paul Müller 002; Oliver Breitwieser; Mikael Lundqvist; Lyle Muller; Matthias Ehrlich; Alain Destexhe; Anders Lansner; René Schüffny; Johannes Schemmel; Karlheinz Meier (CoRR, 2014)

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 Comput. Neurosci., 2015)

A highly tunable 65-nm CMOS LIF neuron for a large scale neuromorphic system. - Syed Ahmed Aamir; Paul Müller 002; Andreas Hartel; Johannes Schemmel; Karlheinz Meier (ESSCIRC, 2016)

Why don't airplanes flap their wings? Or: How much neurobiology do we need in future computers?. - Karlheinz Meier (IJCCI (ECTA), 2016)

The high-conductance state enables neural sampling in networks of LIF neurons. - Mihai A. Petrovici; Ilja Bytschok; Johannes Bill; Johannes Schemmel; Karlheinz Meier (CoRR, 2016)

Stochastic inference with spiking neurons in the high-conductance state. - Mihai A. Petrovici; Johannes Bill; Ilja Bytschok; Johannes Schemmel; Karlheinz Meier (CoRR, 2016)

Invited Talk: Neuromorphic Computing Principles, Achievements, and Potentials. - Karlheinz Meier (Bildverarbeitung für die Medizin, 2017)

From LIF to AdEx neuron models: Accelerated analog 65 nm CMOS implementation. - Syed Ahmed Aamir; Paul Müller 002; Laura Kriener; Gerd Kiene; Johannes Schemmel; Karlheinz Meier (BioCAS, 2017)

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 (IJCNN, 2017)

An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites. - Johannes Schemmel; Laura Kriener; Paul Müller 002; Karlheinz Meier (IJCNN, 2017)

Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. - Sebastian Schmitt; Johann Klähn; Guillaume Bellec; Andreas Grübl; Maurice Güttler; Andreas Hartel; Stephan Hartmann 002; Dan Husmann de Oliveira; Kai Husmann; Sebastian Jeltsch; Vitali Karasenko; Mitja Kleider; et al. (IJCNN, 2017)

Pattern representation and recognition with accelerated analog neuromorphic systems. - Mihai A. Petrovici; Sebastian Schmitt; Johann Klähn; Robert D. St. Louis; Anna Schroeder; Guillaume Bellec; Johannes Bill; Oliver Breitwieser; Ilja Bytschok; Andreas Grübl; Maurice Güttler; Andreas Hartel; et al. (ISCAS, 2017)

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; et al. (CoRR, 2017)

Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System. - Sebastian Schmitt; Johann Klaehn; Guillaume Bellec; Andreas Grübl; Maurice Guettler; Andreas Hartel; Stephan Hartmann 002; Dan Husmann de Oliveira; Kai Husmann; Vitali Karasenko; Mitja Kleider; Christoph Koke; et al. (CoRR, 2017)

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 (CoRR, 2017)

Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System. - Simon Friedmann; Johannes Schemmel; Andreas Grübl; Andreas Hartel; Matthias Hock; Karlheinz Meier (IEEE Trans. Biomed. Circuits Syst., 2017)

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 de Oliveira; Johannes Schemmel; Karlheinz Meier; Oswin Ehrmann (CoRR, 2018)

A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores. - Syed Ahmed Aamir; Paul Müller 002; Gerd Kiene; Laura Kriener; Yannik Stradmann; Johannes Schemmel; Karlheinz Meier (CoRR, 2018)

Generative models on accelerated neuromorphic hardware. - Ákos F. Kungl; Sebastian Schmitt; Johann Klähn; Paul Müller 002; Andreas Baumbach; Dominik Dold; Alexander Kugele; Nico Gürtler; Luziwei Leng; Eric Müller 001; Christoph Koke; Mitja Kleider; et al. (CoRR, 2018)

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study. - Timo Wunderlich; Ákos F. Kungl; Eric Müller 001; Andreas Hartel; Yannik Stradmann; Syed Ahmed Aamir; Andreas Grübl; Arthur Heimbrecht; Korbinian Schreiber; David Stöckel; Christian Pehle; Sebastian Billaudelle; et al. (CoRR, 2018)

A Basic Phase Diagram of Neuronal Dynamics. - Wenyuan Li 001; Igor V. Ovchinnikov; Honglin Chen; Zhe Wang; Albert Lee; Houchul Lee; Carlos Cepeda; Robert N. Schwartz; Karlheinz Meier; Kang L. Wang (Neural Comput., 2018)

A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores. - Syed Ahmed Aamir; Paul Müller 002; Gerd Kiene; Laura Kriener; Yannik Stradmann; Andreas Grübl; Johannes Schemmel; Karlheinz Meier (IEEE Trans. Biomed. Circuits Syst., 2018)

An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture. - Syed Ahmed Aamir; Yannik Stradmann; Paul Müller 002; Christian Pehle; Andreas Hartel; Andreas Grübl; Johannes Schemmel; Karlheinz Meier (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Neuromorphic Hardware learns to learn. - Thomas Bohnstingl; Franz Scherr; Christian Pehle; Karlheinz Meier; Wolfgang Maass 001 (CoRR, 2019)

Control of criticality and computation in spiking neuromorphic networks with plasticity. - Benjamin Cramer; David Stöckel; Markus Kreft; Johannes Schemmel; Karlheinz Meier; Viola Priesemann (CoRR, 2019)

Fast and deep neuromorphic learning with time-to-first-spike coding. - Julian Göltz; Andreas Baumbach; Sebastian Billaudelle; Oliver Breitwieser; Dominik Dold; Laura Kriener; Ákos Ferenc Kungl; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (CoRR, 2019)

Stochasticity from function - Why the Bayesian brain may need no noise. - Dominik Dold; Ilja Bytschok; Ákos F. Kungl; Andreas Baumbach; Oliver Breitwieser; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (Neural Networks, 2019)

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; Ákos Ferenc Kungl; Timo C. Wunderlich; Andreas Hartel; Eric Müller 001; Oliver Breitwieser; et al. (ISCAS, 2020)

Live Demonstration: 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; Ákos Ferenc Kungl; Timo C. Wunderlich; Andreas Hartel; Eric Müller 001; Oliver Breitwieser; et al. (ISCAS, 2020)

Fast and deep neuromorphic learning with first-spike coding. - Julian Göltz; Andreas Baumbach; Sebastian Billaudelle; Ákos F. Kungl; Oliver Breitwieser; Karlheinz Meier; Johannes Schemmel; Laura Kriener; Mihai A. Petrovici (NICE, 2020)

Closed-loop experiments on the BrainScaleS-2 architecture. - Korbinian Schreiber; Timo C. Wunderlich; Christian Pehle; Mihai A. Petrovici; Johannes Schemmel; Karlheinz Meier (NICE, 2020)

Criticality or Supersymmetry Breaking? - Igor V. Ovchinnikov; Wenyuan Li 001; Yuquan Sun; Andrew E. Hudson; Karlheinz Meier; Robert N. Schwartz; Kang L. Wang (Symmetry, 2020)

Fast and energy-efficient neuromorphic deep learning with first-spike times. - Julian Göltz; Laura Kriener; Andreas Baumbach; Sebastian Billaudelle; Oliver Breitwieser; Benjamin Cramer; Dominik Dold; Ákos F. Kungl; Walter Senn; Johannes Schemmel; Karlheinz Meier; Mihai A. Petrovici (Nat. Mach. Intell., 2021)

Structural plasticity on an accelerated analog neuromorphic hardware system. - Sebastian Billaudelle; Benjamin Cramer; Mihai A. Petrovici; Korbinian Schreiber; David Kappel; Johannes Schemmel; Karlheinz Meier (Neural Networks, 2021)

Cortical oscillations support sampling-based computations in spiking neural networks. - Agnes Korcsak-Gorzo; Michael G. Müller; Andreas Baumbach; Luziwei Leng; Oliver Julien Breitwieser; Sacha J. van Albada; Walter Senn; Karlheinz Meier; Robert Legenstein; Mihai A. Petrovici (PLoS Comput. Biol., 2022)

Emulating insect brains for neuromorphic navigation. - Korbinian Schreiber; Timo Wunderlich; Philipp Spilger; Sebastian Billaudelle; Benjamin Cramer; Yannik Stradmann; Christian Pehle; Eric Müller 001; Mihai A. Petrovici; Johannes Schemmel; Karlheinz Meier (CoRR, 2024)