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David Kappel
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Zitiert von
Jahr
Deep rewiring: Training very sparse deep networks
G Bellec, D Kappel, W Maass, R Legenstein
arXiv preprint arXiv:1711.05136, 2017
1732017
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
1092014
Network plasticity as Bayesian inference
D Kappel, S Habenschuss, R Legenstein, W Maass
PLoS computational biology 11 (11), e1004485, 2015
1082015
Recurrent spiking networks solve planning tasks
E Rueckert, D Kappel, D Tanneberg, D Pecevski, J Peters
Scientific reports 6 (1), 1-10, 2016
622016
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
532018
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
472018
Adaptive extreme edge computing for wearable devices
E Covi, E Donati, X Liang, D Kappel, H Heidari, M Payvand, W Wang
Frontiers in Neuroscience, 429, 2021
342021
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
292019
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
252015
NEST 2.14. 0
A Peyser, R Deepu, J Mitchell, S Appukuttan, T Schumann, JM Eppler, ...
Jülich Supercomputing Center, 2017
222017
NEVESIM: event-driven neural simulation framework with a Python interface
D Pecevski, D Kappel, Z Jonke
Frontiers in neuroinformatics 8, 70, 2014
222014
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
202021
Attention on abstract visual reasoning
L Hahne, T Lüddecke, F Wörgötter, D Kappel
arXiv preprint arXiv:1911.05990, 2019
122019
Reward-based stochastic self-configuration of neural circuits
D Kappel, R Legenstein, S Habenschuss, M Hsieh, W Maass
arXiv preprint arXiv:1704.04238, 2017
92017
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
82019
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
62016
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
32020
A synapse-centric account of the free energy principle
D Kappel, C Tetzlaff
arXiv preprint arXiv:2103.12649, 2021
22021
EGRU: Event-based GRU for activity-sparse inference and learning
A Subramoney, KK Nazeer, M Schöne, C Mayr, D Kappel
arXiv preprint arXiv:2206.06178, 2022
2022
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
2022
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