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Andreas Hartel
Andreas Hartel
Kirchhof-Institut for Physics, Universität Heidelberg
Verified email at kip.uni-heidelberg.de
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Cited by
Cited by
Year
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
1852017
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
1392016
Demonstrating advantages of neuromorphic computation: a pilot study
T Wunderlich, AF Kungl, E Müller, A Hartel, Y Stradmann, SA Aamir, ...
Frontiers in neuroscience 13, 435922, 2019
1342019
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
1082018
A highly tunable 65-nm CMOS LIF neuron for a large scale neuromorphic system
SA Aamir, P Müller, A Hartel, J Schemmel, K Meier
ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference, 71-74, 2016
522016
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
S Billaudelle, Y Stradmann, K Schreiber, B Cramer, A Baumbach, D Dold, ...
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
512020
Explainable online validation of machine learning models for practical applications
W Fuhl, Y Rong, T Motz, M Scheidt, A Hartel, A Koch, E Kasneci
2020 25th International Conference on Pattern Recognition (ICPR), 3304-3311, 2021
452021
Accelerated physical emulation of bayesian inference in spiking neural networks
AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, ...
Frontiers in neuroscience 13, 1201, 2019
362019
An analog dynamic memory array for neuromorphic hardware
M Hock, A Hartel, J Schemmel, K Meier
2013 European conference on circuit theory and design (ECCTD), 1-4, 2013
332013
Pattern representation and recognition with accelerated analog neuromorphic systems
MA Petrovici, S Schmitt, J Klähn, D Stöckel, A Schroeder, G Bellec, J Bill, ...
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
222017
Classification with deep neural networks on an accelerated analog neuromorphic system
S Schmitt, J Klähn, G Bellec, A Grübl, M Güttler, A Hartel, S Hartmann, ...
Proceedings of the 2017 IEEE International Joint Conference on Neural Networks, 2017
122017
Towards biologically realistic multi-compartment neuron model emulation in analog VLSI.
S Millner, A Hartel, J Schemmel, K Meier
ESANN, 2012
112012
2017 International Joint Conference on Neural Networks (IJCNN)
S Schmitt, J Klähn, G Bellec, A Grübl, M Güttler, A Hartel
82017
Implementation and Characterization of Mixed-Signal Neuromorphic ASICs
A Hartel
82016
Deep learning-based position detection for hydraulic cylinders using scattering parameters
C Xin, T Motz, W Fuhl, A Hartel, E Kasneci
Expert Systems with Applications 232, 120892, 2023
12023
Demonstrating advantages of neuromorphic computation
T Wunderlich, Á Kungl, E Müller, A Hartel, Y Stradmann, SA Aamir, ...
2019
KIRCHHOFF-INSTITUT FÜR PHYSIK
A Hartel, NN Chip
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