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Johannes Schemmel
Johannes Schemmel
Heidelberg University
Bestätigte E-Mail-Adresse bei kip.uni-heidelberg.de
Titel
Zitiert von
Zitiert von
Jahr
Neuromorphic silicon neuron circuits
G Indiveri, B Linares-Barranco, TJ Hamilton, A Schaik, ...
Frontiers in neuroscience 5, 73, 2011
13192011
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
7422010
Wafer-scale integration of analog neural networks
J Schemmel, J Fieres, K Meier
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
3492008
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
2742006
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
2012013
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
1922018
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
1882001
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
1412017
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
1372011
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, 3367-3370, 2007
1272007
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
1212016
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
1102012
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
1012019
Realizing biological spiking network models in a configurable wafer-scale hardware system
J Fieres, J Schemmel, K Meier
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
942008
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
922018
A VLSI implementation of the adaptive exponential integrate-and-fire neuron model
S Millner, A Grübl, K Meier, J Schemmel, MO Schwartz
Advances in Neural Information Processing Systems 23, 2010
832010
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, 17, 2009
822009
Live demonstration: A scaled-down version of the brainscales wafer-scale neuromorphic system
J Schemmel, A Grübl, S Hartmann, A Kononov, C Mayr, K Meier, S Millner, ...
2012 IEEE international symposium on circuits and systems (ISCAS), 702-702, 2012
782012
An accelerated analog neuromorphic hardware system emulating NMDA-and calcium-based non-linear dendrites
J Schemmel, L Kriener, P Müller, K Meier
2017 International Joint Conference on Neural Networks (IJCNN), 2217-2226, 2017
742017
Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories
E Muller, L Buesing, J Schemmel, K Meier
Neural computation 19 (11), 2958-3010, 2007
732007
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