| Neuromorphic silicon neuron circuits G Indiveri, B Linares-Barranco, TJ Hamilton, A Schaik, ... Frontiers in neuroscience 5, 73, 2011 | 1546 | 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 | 857 | 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 | 390 | 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 | 285 | 2006 |
| 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 | 270 | 2018 |
| 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, 39056, 2013 | 219 | 2013 |
| 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 | 196 | 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 | 194 | 2017 |
| 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 | 188 | 2020 |
| 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 | 143 | 2011 |
| 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 | 140 | 2016 |
| 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 | 138 | 2019 |
| 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 | 130 | 2007 |
| 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, 22895, 2012 | 120 | 2012 |
| 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 | 117 | 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 | 111 | 2018 |
| 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 | 104 | 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 | 103 | 2020 |
| 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 | 101 | 2021 |
| 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 | 100 | 2008 |
Karlheinz MeierRuprecht-Karls-Universität Heidelberg在 kip.uni-heidelberg.de 的电子邮件经过验证
