متابعة
David Kappel
David Kappel
Bielefeld University
بريد إلكتروني تم التحقق منه على uni-bielefeld.de
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Deep rewiring: Training very sparse deep networks‏
G Bellec, D Kappel, W Maass, R Legenstein‏
arXiv preprint arXiv:1711.05136, 2017‏
3412017
Network plasticity as Bayesian inference‏
D Kappel, S Habenschuss, R Legenstein, W Maass‏
PLoS computational biology 11 (11), e1004485, 2015‏
1492015
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
1432021
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
1382014
Recurrent spiking networks solve planning tasks‏
E Rueckert, D Kappel, D Tanneberg, D Pecevski, J Peters‏
Scientific reports 6 (1), 21142, 2016‏
852016
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
502019
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
322021
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
282014
NEST 2.14. 0‏
A Peyser, R Deepu, J Mitchell, S Appukuttan, T Schumann, JM Eppler, ...‏
Jülich Supercomputing Center, 2017‏
252017
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
232023
Attention on abstract visual reasoning‏
L Hahne, T Lüddecke, F Wörgötter, D Kappel‏
arXiv preprint arXiv:1911.05990, 2019‏
212019
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
112017
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
2024 International Conference on Neuromorphic Systems (ICONS), 124-131, 2024‏
82024
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
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
72022
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
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20