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David Kappel
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Deep rewiring: Training very sparse deep networks
G Bellec, D Kappel, W Maass, R Legenstein
arXiv preprint arXiv:1711.05136, 2017
3352017
Network plasticity as Bayesian inference
D Kappel, S Habenschuss, R Legenstein, W Maass
PLoS computational biology 11 (11), e1004485, 2015
1482015
Adaptive extreme edge computing for wearable devices
E Covi, E Donati, X Liang, D Kappel, H Heidari, M Payvand, W Wang
Frontiers in Neuroscience 15, 611300, 2021
1402021
STDP installs in winner-take-all circuits an online approximation to hidden Markov model learning
D Kappel, B Nessler, W Maass
PLoS computational biology 10 (3), e1003511, 2014
1332014
Recurrent spiking networks solve planning tasks
E Rueckert, D Kappel, D Tanneberg, D Pecevski, J Peters
Scientific reports 6 (1), 21142, 2016
842016
Memory-efficient deep learning on a SpiNNaker 2 prototype
C Liu, G Bellec, B Vogginger, D Kappel, J Partzsch, F Neumärker, ...
Frontiers in neuroscience 12, 840, 2018
732018
A dynamic connectome supports the emergence of stable computational function of neural circuits through reward-based learning
D Kappel, R Legenstein, S Habenschuss, M Hsieh, W Maass
eneuro 5 (2), 2018
662018
Efficient reward-based structural plasticity on a SpiNNaker 2 prototype
Y Yan, D Kappel, F Neumärker, J Partzsch, B Vogginger, S Höppner, ...
IEEE transactions on biomedical circuits and systems 13 (3), 579-591, 2019
492019
Structural plasticity on an accelerated analog neuromorphic hardware system
S Billaudelle, B Cramer, MA Petrovici, K Schreiber, D Kappel, ...
Neural Networks 133, 11-20, 2021
332021
Synaptic sampling: A Bayesian approach to neural network plasticity and rewiring
D Kappel, S Habenschuss, R Legenstein, W Maass
Advances in neural information processing systems 28, 2015
282015
NEVESIM: event-driven neural simulation framework with a Python interface
D Pecevski, D Kappel, Z Jonke
Frontiers in neuroinformatics 8, 70, 2014
272014
NEST 2.14. 0
A Peyser, R Deepu, J Mitchell, S Appukuttan, T Schumann, JM Eppler, ...
Jülich Supercomputing Center, 2017
252017
Attention on abstract visual reasoning
L Hahne, T Lüddecke, F Wörgötter, D Kappel
arXiv preprint arXiv:1911.05990, 2019
222019
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
A Subramoney, KK Nazeer, M Schöne, C Mayr, D Kappel
The Eleventh International Conference on Learning Representations, 2023
212023
Embodied synaptic plasticity with online reinforcement learning
J Kaiser, M Hoff, A Konle, JC Vasquez Tieck, D Kappel, D Reichard, ...
Frontiers in Neurorobotics 13, 81, 2019
182019
Reward-based stochastic self-configuration of neural circuits
D Kappel, R Legenstein, S Habenschuss, M Hsieh, W Maass
arXiv preprint arXiv:1704.04238, 1162-1167, 2017
102017
Event-based neural network for ECG classification with delta encoding and early stopping
M Jobst, C Liu, J Partzsch, Y Yan, D Kappel, HA Gonzalez, Y Ji, ...
2020 6th International Conference on Event-Based Control, Communication, and …, 2020
82020
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
M Schöne, NM Sushma, J Zhuge, C Mayr, A Subramoney, D Kappel
arXiv preprint arXiv:2404.18508, 2024
72024
CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling
Z Yu, D Kappel, R Legenstein, S Song, F Chen, W Maass
arXiv preprint arXiv:1606.00157, 2016
72016
Differential Hebbian learning with time-continuous signals for active noise reduction
K Möller, D Kappel, M Tamosiunaite, C Tetzlaff, B Porr, F Wörgötter
Plos one 17 (5), e0266679, 2022
62022
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