Johannes Schemmel

发表

A CMOS FPTA chip for intrinsic hardware evolution of analog electronic circuits

Johannes Schemmel, Karlheinz Meier, Jörg Langeheine, 2001, Proceedings Third NASA/DoD Workshop on Evolvable Hardware. EH-2001.

A highly tunable 65-nm CMOS LIF neuron for a large scale neuromorphic system

Johannes Schemmel, Karlheinz Meier, Syed Ahmed Aamir, 2016, ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference.

A Mixed-Mode Analog Neural Network Using Current-Steering Synapses

Johannes Schemmel, Karlheinz Meier, Felix Schürmann, 2004 .

A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores

Johannes Schemmel, Karlheinz Meier, Syed Ahmed Aamir, 2018, IEEE Transactions on Biomedical Circuits and Systems.

Towards a Silicon Primordial Soup: A Fast Approach to Hardware Evolution with a VLSI Transistor Array

Johannes Schemmel, Karlheinz Meier, Jörg Langeheine, 2000, ICES.

Intrinsic evolution of digital-to-analog converters using a CMOS FPTA chip

Johannes Schemmel, Karlheinz Meier, Jörg Langeheine, 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

A location-independent direct link neuromorphic interface

Johannes Schemmel, Steve B. Furber, Luis A. Plana, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons

Johannes Schemmel, Karlheinz Meier, Dejan Pecevski, 2014, Front. Comput. Neurosci..

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

Johannes Schemmel, Karlheinz Meier, Syed Ahmed Aamir, 2018, Front. Neurosci..

THE HEIDELBERG TACTILE VISION SUBSTITUTION SYSTEM

Johannes Schemmel, Karlheinz Meier, Thorsten Maucher, 2000 .

Stochastic inference with spiking neurons in the high-conductance state

Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici, 2016, Physical review. E.

High-conductance states on a neuromorphic hardware system

Johannes Schemmel, Karlheinz Meier, Daniel Brüderle, 2009, 2009 International Joint Conference on Neural Networks.

New genetic operators to facilitate understanding of evolved transistor circuits

Johannes Schemmel, Karlheinz Meier, Jörg Langeheine, 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

INTRINSIC EVOLUTION OF ANALOG ELECTRONIC CIRCUITS USING A CMOS FPTA CHIP

Johannes Schemmel, Karlheinz Meier, J. Schemmel, 2003 .

Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons

Johannes Schemmel, Karlheinz Meier, Daniel Brüderle, 2007, 2007 IEEE International Symposium on Circuits and Systems.

Towards an artificial neural network framework

Johannes Schemmel, Karlheinz Meier, Felix Schürmann, 2002, Proceedings 2002 NASA/DoD Conference on Evolvable Hardware.

A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware

Johannes Schemmel, Karlheinz Meier, Johannes Fieres, 2006, ANNPR.

A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology

Johannes Schemmel, Karlheinz Meier, Eilif Müller, 2007, IWANN.

The virtual haptic display: A device for exploring 2-D virtual shapes in the tactile modality

Johannes Schemmel, Karlheinz Meier, Jason S. Chan, 2007, Behavior research methods.

Realizing biological spiking network models in a configurable wafer-scale hardware system

Johannes Schemmel, Karlheinz Meier, Johannes Fieres, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Training convolutional networks of threshold neurons suited for low-power hardware implementation

Johannes Schemmel, Karlheinz Meier, Johannes Fieres, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Establishing a Novel Modeling Tool: A Python-Based Interface for a Neuromorphic Hardware System

Johannes Schemmel, Karlheinz Meier, Andrew P. Davison, 2008, Frontiers Neuroinformatics.

Non-renewal Markov models for spike-frequency adapting neural ensembles

Johannes Schemmel, Karlheinz Meier, Eilif Muller, 2007, BMC Neuroscience.

Towards biologically realistic multi-compartment neuron model emulation in analog VLSI

Johannes Schemmel, Karlheinz Meier, Andreas Hartel, 2012, ESANN.

Neuromorphic learning towards nano second precision

Johannes Schemmel, Karlheinz Meier, Thomas Pfeil, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Verifying the biological relevance of a neuromorphic hardware device

Johannes Schemmel, Karlheinz Meier, Daniel Brüderle, 2007, BMC Neuroscience.

Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections

Stefan Philipp, Johannes Schemmel, Karlheinz Meier, 2007, IWANN.

Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms

Johannes Schemmel, Karlheinz Meier, Anders Lansner, 2014, PloS one.

Deterministic networks for probabilistic computing

Johannes Schemmel, Karlheinz Meier, Markus Diesmann, 2017, Scientific Reports.

Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity

Johannes Schemmel, Karlheinz Meier, Wolfgang Maass, 2010, Front. Comput. Neurosci..

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Silvestro Micera, Johannes Schemmel, Szabolcs Káli, 2017, BMC Neuroscience.

Speeding up Hardware Evolution: A Coprocessor for Evolutionary Algorithms

Johannes Schemmel, Karlheinz Meier, Felix Schürmann, 2003, ICES.

Intrinsic evolution of quasi DC solutions for transistor level analog electronic circuits using a CMOS FPTA chip

Johannes Schemmel, Karlheinz Meier, Jörg Langeheine, 2002, Proceedings 2002 NASA/DoD Conference on Evolvable Hardware.

Corrigendum: Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

Gert Cauwenberghs, Johannes Schemmel, Shimeng Yu, 2019, Front. Neurosci..

A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model

Johannes Schemmel, Karlheinz Meier, Andreas Grübl, 2010, NIPS.

Camera with analog adaptive photoreceptors for a tactile vision aid

Markus Loose, Johannes Schemmel, Karlheinz Meier, 1996, Other Conferences.

Live demonstration: Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system

Johannes Schemmel, Karlheinz Meier, Daniel Brüderle, 2010, ISCAS.

Amiga System Programmer's Guide

Johannes Schemmel, Ditteich, Ralf Gelfand, 1990 .

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems

Johannes Schemmel, Karlheinz Meier, Anders Lansner, 2010, Biological Cybernetics.

Reward-based learning under hardware constraints—using a RISC processor embedded in a neuromorphic substrate

Johannes Schemmel, Karlheinz Meier, Wulfram Gerstner, 2013, Front. Neurosci..

Entwicklung einer Kamera mit adaptiven Photorezeptoren in analoger CMOS-Technologie

Markus Loose, Johannes Schemmel, Karlheinz Meier, 1996, DAGM-Symposium.

Wafer-scale integration of analog neural networks

Johannes Schemmel, Karlheinz Meier, Johannes Fieres, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

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 pdf

Johannes Schemmel, Karlheinz Meier, Anders Lansner, 2014, ArXiv.

A Modular Framework for the Evolution of Circuits on Configurable Transistor Array Architectures.

Johannes Schemmel, Karlheinz Meier, Jörg Langeheine, 2006, First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06).

Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model

Johannes Schemmel, Karlheinz Meier, Eilif Müller, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA

Johannes Schemmel, Karlheinz Meier, Jörg Langeheine, 2004, GECCO.

CMOS image sensor with logarithmic response and self-calibrating fixed pattern noise correction

Markus Loose, Johannes Schemmel, Karlheinz Meier, 1998, Other Conferences.

A wafer-scale neuromorphic hardware system for large-scale neural modeling

Johannes Schemmel, Karlheinz Meier, Daniel Brüderle, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System

Johannes Schemmel, Karlheinz Meier, Andreas Hartel, 2016, IEEE Transactions on Biomedical Circuits and Systems.

Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid

Johannes Schemmel, Karlheinz Meier, Felix Schürmann, 2004, NIPS.

An interactive tactile graphics display

Johannes Schemmel, Karlheinz Meier, Thorsten Maucher, 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).

Methods for Simulating High-Conductance States in Neural Microcircuits

Johannes Schemmel, Karlheinz Meier, Eilif Muller, 2004 .

Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories

Johannes Schemmel, Karlheinz Meier, Eilif Müller, 2007, Neural Computation.

Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware

Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

MIXED-MODE NEURAL NETWORKS ADAPTED FOR EVOLUTIONARY ALGORITHMS

Johannes Schemmel, Tillmann Schmitz, Steffen Hohmann, 2004 .

An analog dynamic memory array for neuromorphic hardware

Johannes Schemmel, Karlheinz Meier, Andreas Hartel, 2013, 2013 European Conference on Circuit Theory and Design (ECCTD).

Stochasticity from function - why the Bayesian brain may need no noise

Johannes Schemmel, Karlheinz Meier, Walter Senn, 2018, Neural Networks.

Neuromorphic Hardware, Large Scale

Johannes Schemmel, 2014, Encyclopedia of Computational Neuroscience.

Initial Studies of a New VLSI Field Programmable Transistor Array

Johannes Schemmel, Karlheinz Meier, Jörg Langeheine, 2001, ICES.

An integrated mixed-mode neural network architecture for megasynapse ANNs

Johannes Schemmel, Karlheinz Meier, Steffen Hohmann, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

From LIF to AdEx neuron models: Accelerated analog 65 nm CMOS implementation

Johannes Schemmel, Karlheinz Meier, Syed Ahmed Aamir, 2017, 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS).

Spiking neurons with short-term synaptic plasticity form superior generative networks

Johannes Schemmel, Karlheinz Meier, Walter Senn, 2018, Scientific Reports.

Camera with adaptive photoreceptors in analog CMOS technology

Markus Loose, Johannes Schemmel, Karlheinz Meier, 1996, Advanced Imaging and Network Technologies.

A Scalable Switched Capacitor Realization of the Resistive Fuse Network

Markus Loose, Johannes Schemmel, Karlheinz Meier, 2002 .

A VLSI Implementation of an Analog Neural Network Suited for Genetic Algorithms

Johannes Schemmel, Karlheinz Meier, Felix Schürmann, 2001, ICES.

Deterministic neural networks as sources of uncorrelated noise for probabilistic computations

Johannes Schemmel, Karlheinz Meier, Markus Diesmann, 2015, BMC Neuroscience.

Stochastic neural computing without random numbers

Johannes Schemmel, Markus Diesmann, Tom Tetzlaff, 2017 .

Exploring The Parameter Space Of A Genetic Algorithm For Training An Analog Neural Network

Johannes Schemmel, Karlheinz Meier, Felix Schürmann, 2002, GECCO.

The high-conductance state enables neural sampling in networks of LIF neurons

Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici, 2015, BMC Neuroscience.

Interfacing Binary Networks to Multi-valued Signals

Johannes Schemmel, Karlheinz Meier, Felix Schürmann, 2003 .

Stochastic inference with deterministic spiking neurons pdf

Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici, 2013, ArXiv.

Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system

Johannes Schemmel, Karlheinz Meier, Daniel Brüderle, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Probabilistic Inference in Discrete Spaces with Networks of LIF Neurons

Johannes Schemmel, Karlheinz Meier, Dejan Pecevski, 2014 .

Live demonstration: A scaled-down version of the BrainScaleS wafer-scale neuromorphic system

Johannes Schemmel, Karlheinz Meier, René Schüffny, 2012, 2012 IEEE International Symposium on Circuits and Systems.

Stochastic neural computation without noise

Johannes Schemmel, Markus Diesmann, Tom Tetzlaff, 2017 .

An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites

Johannes Schemmel, Karlheinz Meier, Paul Müller, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

An integrated analog network for image processing

Johannes Schemmel, J. Schemmel, 1999 .

Full wafer redistribution and wafer embedding as key technologies for a multi-scale neuromorphic hardware cluster

Johannes Schemmel, Karlheinz Meier, Oswin Ehrmann, 2017, 2017 IEEE 19th Electronics Packaging Technology Conference (EPTC).

Is a 4-Bit Synaptic Weight Resolution Enough? – Constraints on Enabling Spike-Timing Dependent Plasticity in Neuromorphic Hardware

Johannes Schemmel, Karlheinz Meier, Markus Diesmann, 2012, Front. Neurosci..

Six Networks on a Universal Neuromorphic Computing Substrate

Johannes Schemmel, Karlheinz Meier, Michael Schmuker, 2012, Front. Neurosci..

Operational Amplifiers: An Example for Multi-objective Optimization on an Analog Evolvable Hardware Platform

Johannes Schemmel, Karlheinz Meier, Jörg Langeheine, 2005, ICES.

An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture

Johannes Schemmel, Karlheinz Meier, Syed Ahmed Aamir, 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

Spiking neuromorphic chip learns entangled quantum states pdf

Johannes Schemmel, Jan M. Pawlowski, Thomas Gasenzer, 2020, SciPost Physics.

Demonstrating Analog Inference on the BrainScaleS-2 Mobile System pdf

Johannes Schemmel, Yannik Stradmann, Eric Müller, 2021, ArXiv.

The BrainScaleS Accelerated Analogue Neuromorphic Architecture

Johannes Schemmel, 2021, ERCIM News.

BrainScaleS Large Scale Spike Communication using Extoll pdf

Johannes Schemmel, Ulrich Brüning, Eric Müller, 2021, ArXiv.

The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity

Johannes Schemmel, Yannik Stradmann, Korbinian Schreiber, 2022 .

Surrogate gradients for analog neuromorphic computing

Johannes Schemmel, Yannik Stradmann, Korbinian Schreiber, 2020, Proceedings of the National Academy of Sciences.

Spiking neural networks as superior generative and discriminative models

Johannes Schemmel, Karlheinz Meier, Ilja Bytschok, 2015 .

Spike-based probabilistic inference with correlated noise

Johannes Schemmel, Karlheinz Meier, Ilja Bytschok, 2017 .

Noisy Inputs In Vitro The Dynamical Response Properties of Neocortical Neurons to Temporally Modulated

Johannes Schemmel, Karlheinz Meier, Wulfram Gerstner, 2008 .