Johannes Schemmel

About Johannes Schemmel

Johannes Schemmel, With an exceptional h-index of 40 and a recent h-index of 30 (since 2020), a distinguished researcher at Ruprecht-Karls-Universität Heidelberg, specializes in the field of Neuromorphic Hardware, Microelectronics, Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards Large-scale Network Emulation on Analog Neuromorphic Hardware

Lu. i--A low-cost electronic neuron for education and outreach

jaxsnn: Event-driven gradient estimation for analog neuromorphic hardware

The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing

Closing the loop: High-speed robotics with accelerated neuromorphic hardware

Qualitative switches in single-neuron spike dynamics on neuromorphic hardware: implementation, impact on network synchronization and relevance for plasticity

Parametrizing analog multi-compartment neurons with genetic algorithms

Spiking neural network nonlinear demapping on neuromorphic hardware for IM/DD optical communication

Johannes Schemmel Information

University

Position

___

Citations(all)

7764

Citations(since 2020)

3990

Cited By

5157

hIndex(all)

40

hIndex(since 2020)

30

i10Index(all)

98

i10Index(since 2020)

58

Email

University Profile Page

Ruprecht-Karls-Universität Heidelberg

Google Scholar

View Google Scholar Profile

Johannes Schemmel Skills & Research Interests

Neuromorphic Hardware

Microelectronics

Neuroscience

Top articles of Johannes Schemmel

Title

Journal

Author(s)

Publication Date

Towards Large-scale Network Emulation on Analog Neuromorphic Hardware

arXiv preprint arXiv:2401.16840

Elias Arnold

Philipp Spilger

Jan V Straub

Eric Müller

Dominik Dold

...

2024/1/30

Lu. i--A low-cost electronic neuron for education and outreach

arXiv preprint arXiv:2404.16664

Yannik Stradmann

Julian Göltz

Mihai A Petrovici

Johannes Schemmel

Sebastian Billaudelle

2024/4/25

jaxsnn: Event-driven gradient estimation for analog neuromorphic hardware

arXiv preprint arXiv:2401.16841

Eric Müller

Moritz Althaus

Elias Arnold

Philipp Spilger

Christian Pehle

...

2024/1/30

The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing

Katrin Amunts

Andreas Rowald

Spase Petkoski

Maria V Sanchez-Vives

Markus Axer

...

2022

Closing the loop: High-speed robotics with accelerated neuromorphic hardware

Frontiers in Neuroscience

Yannik Stradmann

Johannes Schemmel

2024/3/26

Qualitative switches in single-neuron spike dynamics on neuromorphic hardware: implementation, impact on network synchronization and relevance for plasticity

Neuromorphic Computing and Engineering

Liz Weerdmeester

Nelson Niemeyer

Paul Pfeiffer

Sebastian Billaudelle

Johannes Schemmel

...

2024/2/20

Parametrizing analog multi-compartment neurons with genetic algorithms

Open Research Europe

Raphael Stock

Jakob Kaiser

Eric Müller

Johannes Schemmel

Sebastian Schmitt

2023/9/8

Spiking neural network nonlinear demapping on neuromorphic hardware for IM/DD optical communication

Journal of Lightwave Technology

Elias Arnold

Georg Böcherer

Florian Strasser

Eric Müller

Philipp Spilger

...

2023/3/6

Gradient-based methods for spiking physical systems

arXiv preprint arXiv:2309.10823

Julian Göltz

Sebastian Billaudelle

Laura Kriener

Luca Blessing

Christian Pehle

...

2023/8/29

Spiking neural network linear equalization: Experimental demonstration of 2km 100Gb/s IM/DD PAM4 optical transmission

Georg Böcherer

Florian Strasser

Elias Arnold

Youxi Lin

Johannes Schemmel

...

2023/3/5

Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware

Physical Review Research

Benjamin Cramer

Markus Kreft

Sebastian Billaudelle

Vitali Karasenko

Aron Leibfried

...

2023/7/19

Emulating insect brains for neuromorphic navigation

arXiv preprint arXiv:2401.00473

Korbinian Schreiber

Timo Wunderlich

Philipp Spilger

Sebastian Billaudelle

Benjamin Cramer

...

2023/12/31

Event-based backpropagation for analog neuromorphic hardware

arXiv preprint arXiv:2302.07141

Christian Pehle

Luca Blessing

Elias Arnold

Eric Müller

Johannes Schemmel

2023/2/13

A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing

Philipp Dauer

Milena Czierlinski

Sebastian Billaudelle

Andreas Grübl

Johannes Schemmel

2023/6/18

Simulation-based inference for model parameterization on analog neuromorphic hardware

Neuromorphic Computing and Engineering

Jakob Kaiser

Raphael Stock

Eric Müller

Johannes Schemmel

Sebastian Schmitt

2023/11/7

Multi-compartment models with STDP on BrainScaleS-2

Robin Dietrich

Philipp Spilger

Eric C Müller

Alois C Knoll

Johannes Schemmel

2023

hxtorch. snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2

Philipp Spilger

Elias Arnold

Luca Blessing

Christian Mauch

Christian Pehle

...

2023/4/11

From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system

Neuromorphic Computing and Engineering

Hartmut Schmidt

José Montes

Andreas Grübl

Maurice Güttler

Dan Husmann

...

2023/9/25

Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking

arXiv preprint arXiv:2304.04640

Jason Yik

Soikat Hasan Ahmed

Zergham Ahmed

Brian Anderson

Andreas G Andreou

...

2023/4/10

Surrogate gradients for analog neuromorphic computing

Proceedings of the National Academy of Sciences

Benjamin Cramer

Sebastian Billaudelle

Simeon Kanya

Aron Leibfried

Andreas Grübl

...

2022/1/25

See List of Professors in Johannes Schemmel University(Ruprecht-Karls-Universität Heidelberg)

Co-Authors

H-index: 230
Karlheinz Meier

Karlheinz Meier

Heidelberg University

H-index: 62
Gert Cauwenberghs

Gert Cauwenberghs

University of California, San Diego

H-index: 58
Giacomo Indiveri

Giacomo Indiveri

Universität Zürich

H-index: 48
Ralph Etienne-Cummings

Ralph Etienne-Cummings

Johns Hopkins University

H-index: 32
Felix Schuermann

Felix Schuermann

École Polytechnique Fédérale de Lausanne

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