Eric Müller

Orcid: 0000-0001-5880-2012

Affiliations:
  • Heidelberg University, Germany (PhD 2014)


According to our database1, Eric Müller authored at least 46 papers between 2009 and 2025.

Collaborative distances:

Timeline

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Bibliography

2025
Sustainable operation of research infrastructure for novel computing.
CoRR, June, 2025

Constructive community race: full-density spiking neural network model drives neuromorphic computing.
CoRR, May, 2025

Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware.
Proceedings of the Neuro Inspired Computational Elements, 2025

Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware.
Proceedings of the Neuro Inspired Computational Elements, 2025

Multi-timescale synaptic plasticity on analog neuromorphic hardware.
Proceedings of the Neuro Inspired Computational Elements, 2025

Short-reach Optical Communications: A Real-world Task for Neuromorphic Hardware.
Proceedings of the Neuro Inspired Computational Elements, 2025

Live Demonstration: Event-based Learning in Spiking Networks on Analog Hardware using JAX.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024
Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms [Data].
Dataset, November, 2024

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference.
CoRR, 2024

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

Emulating insect brains for neuromorphic navigation.
CoRR, 2024

jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Sequence Learning with Analog Neuromorphic Multi-Compartment Neurons and On-Chip Structural STDP.
Proceedings of the Machine Learning, Optimization, and Data Science, 2024

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

Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data].
Dataset, November, 2023

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

Simulation-based Inference for Model Parameterization on Analog Neuromorphic Hardware [data].
Dataset, September, 2023

Parametrizing Analog Multi-Compartment Neurons with Genetic Algorithms [Data].
Dataset, April, 2023

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

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

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

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

2021
BrainScaleS Large Scale Spike Communication using Extoll.
CoRR, 2021

2020
Extending BrainScaleS OS for BrainScaleS-2.
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



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
Code Generation in Computational Neuroscience: A Review of Tools and Techniques.
Frontiers Neuroinformatics, 2018

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

Generative models on accelerated neuromorphic hardware.
CoRR, 2018

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



2014
Novel operation modes of accelerated neuromorphic hardware.
PhD thesis, 2014

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

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

A Software Framework for Mapping Neural Networks to a Wafer-scale Neuromorphic Hardware System.
Proceedings of the Artificial Neural Networks and Intelligent Information Processing, 2010

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


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