| Neuromorphic silicon neuron circuits G Indiveri, B Linares-Barranco, TJ Hamilton, A Schaik, ... Frontiers in neuroscience 5, 73, 2011 | 1318 | 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 | 740 | 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 | 348 | 2008 |
| 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 | 274 | 2006 |
| 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 | 201 | 2013 |
| 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 | 191 | 2018 |
| 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 | 188 | 2001 |
| 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 | 141 | 2017 |
| 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 | 137 | 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, 3367-3370, 2007 | 127 | 2007 |
| 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 | 121 | 2016 |
| 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 | 110 | 2012 |
| 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 | 100 | 2019 |
| 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 | 94 | 2008 |
| 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 | 92 | 2018 |
| 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 | 83 | 2010 |
| 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 | 82 | 2009 |
| 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 | 78 | 2012 |
| 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 | 74 | 2017 |
| 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 | 73 | 2007 |
Karlheinz MeierRuprecht-Karls-Universität HeidelbergVerified email at kip.uni-heidelberg.de
