Johannes Schemmel

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Karlheinz MeierRuprecht-Karls-Universität HeidelbergAdresse e-mail validée de kip.uni-heidelberg.de
Andreas GrüblHeidelberg UniversityAdresse e-mail validée de kip.uni-heidelberg.de
Mihai A. PetroviciGroup Leader, NeuroTMA Lab, University of BernAdresse e-mail validée de unibe.ch
Eric MüllerRuprecht-Karls-Universität HeidelbergAdresse e-mail validée de kip.uni-heidelberg.de
Sebastian BillaudelleInstitute of Neuroinformatics, University of Zürich and ETH ZürichAdresse e-mail validée de ini.uzh.ch
Oliver BreitwieserDr. rer. nat., Heidelberg UniversityAdresse e-mail validée de kip.uni-heidelberg.de
Yannik StradmannKirchhoff-Institute for Physics, Heidelberg UniversityAdresse e-mail validée de kip.uni-heidelberg.de
Christian PehleNeuroAI Scholar, Cold Spring Harbor LaboratoryAdresse e-mail validée de cshl.edu
Johannes WeisScientific staff, M.Sc. Physics, Heidelberg UniversityAdresse e-mail validée de kip.uni-heidelberg.de
Korbinian SchreiberHeidelberg UniversityAdresse e-mail validée de kip.uni-heidelberg.de
Eilif B. MullerUniversity of Montreal, CHU Ste-Justine Research Center, Quebec Artificial Intelligence InstituteAdresse e-mail validée de umontreal.ca
André van SchaikDirector, International Centre for Neuromorphic Systems, Western Sydney UniversityAdresse e-mail validée de westernsydney.edu.au
Ralph Etienne-CummingsJohns Hopkins UniversityAdresse e-mail validée de jhu.edu
Christian MauchKirchhoff-Insittute for Physics, Heidelberg UniversityAdresse e-mail validée de alice-dsl.net
Johannes BillHarvard Medical SchoolAdresse e-mail validée de hms.harvard.edu
Andreas HartelKirchhof-Institut for Physics, Universität HeidelbergAdresse e-mail validée de kip.uni-heidelberg.de
Giacomo IndiveriInstitute of Neuroinformatics, University of Zurich and ETH ZurichAdresse e-mail validée de ini.uzh.ch
Akos F. KunglCarl Zeiss SMTAdresse e-mail validée de zeiss.com
Felix SchuermannEPFL - Blue Brain ProjectAdresse e-mail validée de epfl.ch
Laura KrienerPostdoctoral Researcher, Institute of Neuroinformatics, University of Zurich & ETH ZurichAdresse e-mail validée de unibe.ch

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Johannes Schemmel

Heidelberg University

Adresse e-mail validée de kip.uni-heidelberg.de

Neuromorphic Hardware Microelectronics Neuroscience


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Neuromorphic silicon neuron circuits G Indiveri, B Linares-Barranco, TJ Hamilton, A Schaik, ... Frontiers in neuroscience 5, 73, 2011	1707	2011
A wafer-scale neuromorphic hardware system for large-scale neural modeling J Schemmel, D Brüderle, A Grübl, M Hock, K Meier, S Millner 2010 ieee international symposium on circuits and systems (iscas), 1947-1950, 2010	913	2010
Wafer-scale integration of analog neural networks J Schemmel, J Fieres, K Meier 2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008	404	2008
Large-scale neuromorphic spiking array processors: A quest to mimic the brain CS Thakur, JL Molin, G Cauwenberghs, G Indiveri, K Kumar, N Qiao, ... Frontiers in neuroscience 12, 891, 2018	313	2018
Implementing synaptic plasticity in a VLSI spiking neural network model J Schemmel, A Grubl, K Meier, E Mueller The 2006 ieee international joint conference on neural network proceedings, 1-6, 2006	289	2006
The heidelberg spiking data sets for the systematic evaluation of spiking neural networks B Cramer, Y Stradmann, J Schemmel, F Zenke IEEE Transactions on Neural Networks and Learning Systems 33 (7), 2744-2757, 2020	281	2020
Six networks on a universal neuromorphic computing substrate T Pfeil, A Grübl, S Jeltsch, E Müller, P Müller, MA Petrovici, M Schmuker, ... Frontiers in neuroscience 7, 11, 2013	231	2013
Neuromorphic hardware in the loop: Training a deep spiking network on the brainscales wafer-scale system S Schmitt, J Klähn, G Bellec, A Grübl, M Guettler, A Hartel, S Hartmann, ... 2017 international joint conference on neural networks (IJCNN), 2227-2234, 2017	216	2017
A self-calibrating single-chip CMOS camera with logarithmic response M Loose, K Meier, J Schemmel IEEE Journal of Solid-state circuits 36 (4), 586-596, 2001	201	2001
The BrainScaleS-2 accelerated neuromorphic system with hybrid plasticity C Pehle, S Billaudelle, B Cramer, J Kaiser, K Schreiber, Y Stradmann, ... Frontiers in Neuroscience 16, 795876, 2022	184	2022
Demonstrating advantages of neuromorphic computation: a pilot study T Wunderlich, AF Kungl, E Müller, A Hartel, Y Stradmann, SA Aamir, ... Frontiers in neuroscience 13, 260, 2019	154	2019
Demonstrating hybrid learning in a flexible neuromorphic hardware system S Friedmann, J Schemmel, A Grübl, A Hartel, M Hock, K Meier IEEE transactions on biomedical circuits and systems 11 (1), 128-142, 2016	153	2016
Fast and energy-efficient neuromorphic deep learning with first-spike times J Göltz, L Kriener, A Baumbach, S Billaudelle, O Breitwieser, B Cramer, ... Nature machine intelligence 3 (9), 823-835, 2021	149	2021
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems D Brüderle, MA Petrovici, B Vogginger, M Ehrlich, T Pfeil, S Millner, ... Biological cybernetics 104, 263-296, 2011	148	2011
Modeling synaptic plasticity within networks of highly accelerated I&F neurons J Schemmel, D Bruderle, K Meier, B Ostendorf 2007 IEEE International Symposium on Circuits and Systems (ISCAS), 3367-3370, 2007	130	2007
Surrogate gradients for analog neuromorphic computing B Cramer, S Billaudelle, S Kanya, A Leibfried, A Grübl, V Karasenko, ... Proceedings of the National Academy of Sciences 119 (4), e2109194119, 2022	128	2022
An accelerated LIF neuronal network array for a large-scale mixed-signal neuromorphic architecture SA Aamir, Y Stradmann, P Müller, C Pehle, A Hartel, A Grübl, J Schemmel, ... IEEE Transactions on Circuits and Systems I: Regular Papers 65 (12), 4299-4312, 2018	124	2018
Is a 4-bit synaptic weight resolution enough?–constraints on enabling spike-timing dependent plasticity in neuromorphic hardware T Pfeil, TC Potjans, S Schrader, W Potjans, J Schemmel, M Diesmann, ... Frontiers in neuroscience 6, 90, 2012	124	2012
Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system D Brüderle, E Müller, AP Davison, E Muller, J Schemmel, K Meier Frontiers in neuroinformatics 3, 362, 2009	117	2009
Control of criticality and computation in spiking neuromorphic networks with plasticity B Cramer, D Stöckel, M Kreft, M Wibral, J Schemmel, K Meier, ... Nature communications 11 (1), 2853, 2020	112	2020

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