Johannes Schemmel

Orcid: 0000-0003-1440-4375

Affiliations:
  • University of Heidelberg, Germany


According to our database1, Johannes Schemmel authored at least 107 papers between 1996 and 2024.

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Bibliography

2024
jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware.
CoRR, 2024

Towards Large-scale Network Emulation on Analog Neuromorphic Hardware.
CoRR, 2024

Emulating insect brains for neuromorphic navigation.
CoRR, 2024

2023
Simulation-based inference for model parameterization on analog neuromorphic hardware.
Neuromorph. Comput. Eng., December, 2023

From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system.
Neuromorph. Comput. Eng., September, 2023

Gradient-based methods for spiking physical systems.
CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023

Event-based Backpropagation for Analog Neuromorphic Hardware.
CoRR, 2023

A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing.
Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023

Spiking Neural Network Linear Equalization: Experimental Demonstration of 2km 100Gb/s IM/DD PAM4 Optical Transmission.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2.
Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

2022
Heidelberg Spiking Datasets.
Dataset, May, 2022

The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Surrogate gradients for analog neuromorphic computing.
Proc. Natl. Acad. Sci. USA, 2022

Demonstrating Analog Inference on the BrainScaleS-2 Mobile System.
IEEE Open J. Circuits Syst., 2022

The operating system of the neuromorphic BrainScaleS-1 system.
Neurocomputing, 2022

Spiking Neural Network Equalization for IM/DD Optical Communication.
CoRR, 2022

A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware.
CoRR, 2022

The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity.
CoRR, 2022

Demonstrating BrainScaleS-2 Inter-Chip Pulse-Communication using EXTOLL.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

An accurate and flexible analog emulation of AdEx neuron dynamics in silicon.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

2021
Structural plasticity on an accelerated analog neuromorphic hardware system.
Neural Networks, 2021

Fast and energy-efficient neuromorphic deep learning with first-spike times.
Nat. Mach. Intell., 2021

The BrainScaleS Accelerated Analogue Neuromorphic Architecture.
ERCIM News, 2021

BrainScaleS Large Scale Spike Communication using Extoll.
CoRR, 2021

Towards Addressing Noise and Static Variations of Analog Computations Using Efficient Retraining.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020
Correction to: Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System.
J. Signal Process. Syst., 2020

Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System.
J. Signal Process. Syst., 2020

Spiking neuromorphic chip learns entangled quantum states.
CoRR, 2020

Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate.
CoRR, 2020

Extending BrainScaleS OS for BrainScaleS-2.
CoRR, 2020

Accelerated Analog Neuromorphic Computing.
CoRR, 2020

Inference with Artificial Neural Networks on Analog Neuromorphic Hardware.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

hxtorch: PyTorch for BrainScaleS-2 - Perceptrons on Analog Neuromorphic Hardware.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Closed-loop experiments on the BrainScaleS-2 architecture.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Fast and deep neuromorphic learning with first-spike coding.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020



2019
Stochasticity from function - Why the Bayesian brain may need no noise.
Neural Networks, 2019

Fast and deep neuromorphic learning with time-to-first-spike coding.
CoRR, 2019

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks.
CoRR, 2019

Control of criticality and computation in spiking neuromorphic networks with plasticity.
CoRR, 2019

Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores.
IEEE Trans. Biomed. Circuits Syst., 2018

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study.
CoRR, 2018

Generative models on accelerated neuromorphic hardware.
CoRR, 2018

Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain.
CoRR, 2018

A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores.
CoRR, 2018

Full Wafer Redistribution and Wafer Embedding as Key Technologies for a Multi-Scale Neuromorphic Hardware Cluster.
CoRR, 2018

2017
Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System.
IEEE Trans. Biomed. Circuits Syst., 2017

Spiking neurons with short-term synaptic plasticity form superior generative networks.
CoRR, 2017

Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System.
CoRR, 2017

Pattern representation and recognition with accelerated analog neuromorphic systems.
CoRR, 2017



An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

From LIF to AdEx neuron models: Accelerated analog 65 nm CMOS implementation.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

2016
Stochastic inference with spiking neurons in the high-conductance state.
CoRR, 2016

The high-conductance state enables neural sampling in networks of LIF neurons.
CoRR, 2016

A highly tunable 65-nm CMOS LIF neuron for a large scale neuromorphic system.
Proceedings of the ESSCIRC Conference 2016: 42<sup>nd</sup> European Solid-State Circuits Conference, 2016

2015
Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons.
Frontiers Comput. Neurosci., 2015

2014
Neuromorphic Hardware, Large Scale.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

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.
CoRR, 2014

2013
Stochastic inference with deterministic spiking neurons.
CoRR, 2013

A location-independent direct link neuromorphic interface.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Neuromorphic learning towards nano second precision.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

An analog dynamic memory array for neuromorphic hardware.
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013

2012
Live demonstration: A scaled-down version of the BrainScaleS wafer-scale neuromorphic system.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Towards biologically realistic multi-compartment neuron model emulation in analog VLSI.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
Biol. Cybern., 2011

2010
Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity.
Frontiers Comput. Neurosci., 2010

A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A wafer-scale neuromorphic hardware system for large-scale neural modeling.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Live demonstration: Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

2009
Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system.
Frontiers Neuroinformatics, 2009

A QoS network architecture to interconnect large-scale VLSI neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2009

High-conductance states on a neuromorphic hardware system.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Wafer-scale integration of analog neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2008

Realizing biological spiking network models in a configurable wafer-scale hardware system.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories.
Neural Comput., 2007

Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections.
Proceedings of the Computational and Ambient Intelligence, 2007

A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology.
Proceedings of the Computational and Ambient Intelligence, 2007

Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2006
Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model.
Proceedings of the International Joint Conference on Neural Networks, 2006

Training convolutional networks of threshold neurons suited for low-power hardware implementation.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

A Modular Framework for the Evolution of Circuits on Configurable Transistor Array Architectures.
Proceedings of the First NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2006), 2006

2005
Operational Amplifiers: An Example for Multi-objective Optimization on an Analog Evolvable Hardware Platform.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2005

2004
Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

On the Evolution of Analog Electronic Circuits Using Building Blocks on a CMOS FPTA.
Proceedings of the Genetic and Evolutionary Computation, 2004

New Genetic Operators to Facilitate Understanding of Evolved Transistor Circuits.
Proceedings of the 6th NASA / DoD Workshop on Evolvable Hardware (EH 2004), 2004

Intrinsic Evolution of Digital-to-Analog Converters Using a CMOS FPTA Chip.
Proceedings of the 6th NASA / DoD Workshop on Evolvable Hardware (EH 2004), 2004

2003
Speeding up Hardware Evolution: A Coprocessor for Evolutionary Algorithms.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2003

2002
Exploring The Parameter Space Of A Genetic Algorithm For Training An Analog Neural Network.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Towards an Artificial Neural Network Framework.
Proceedings of the 4th NASA / DoD Workshop on Evolvable Hardware (EH 2002), 2002

Intrinsic Evolution of Quasi DC Solutions for Transistor Level Analog Electronic Circuits Using a CMOS FPTA Chip.
Proceedings of the 4th NASA / DoD Workshop on Evolvable Hardware (EH 2002), 2002

2001
A self-calibrating single-chip CMOS camera with logarithmic response.
IEEE J. Solid State Circuits, 2001

An interactive tactile graphics display.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

A VLSI Implementation of an Analog Neural Network Suited for Genetic Algorithms.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2001

Initial Studies of a New VLSI Field Programmable Transistor Array.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2001

A Cmos Fpta Chip For Intrinsic Hardware Evolution Of Analog Electronic Circuits.
Proceedings of the 3rd NASA / DoD Workshop on Evolvable Hardware (EH 2001), 2001

2000
Towards a Silicon Primordial Soup: A Fast Approach to Hardware Evolution with a VLSI Transistor Array.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2000

1999
An integrated analog network for image processing.
PhD thesis, 1999

1996
Entwicklung einer Kamera mit adaptiven Photorezeptoren in analoger CMOS-Technologie.
Proceedings of the Mustererkennung 1996, 1996


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