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ORCIDDavid Kappel
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2020 – today
- 2024
[c7]Khaleelulla Khan Nazeer
, Mark Schöne, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney:
Language Modeling on a SpiNNaker2 Neuromorphic Chip. AICAS 2024: 492-496- [c6]Paolo Gibertini, Luca Fehlings, Thomas Mikolajick, Elisabetta Chicca, David Kappel, Erika Covi:
Coincidence Detection with an Analog Spiking Neuron Exploiting Ferroelectric Polarization. ISCAS 2024: 1-5 - [i17]Bernhard Vogginger, Amirhossein Rostami, Vaibhav Jain, Sirine Arfa, Andreas Hantsch, David Kappel, Michael Schäfer, Ulrike Faltings, Hector A. Gonzalez, Chen Liu, Christian Mayr:
Neuromorphic hardware for sustainable AI data centers. CoRR abs/2402.02521 (2024) - [i16]Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel:
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models. CoRR abs/2404.18508 (2024) - [i15]Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney:
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. CoRR abs/2405.00433 (2024) - 2023
- [j8]Nicolas Diekmann, Sandhiya Vijayabaskaran, Xiangshuai Zeng, David Kappel, Matheus Chaves Menezes, Sen Cheng:
CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning. Frontiers Neuroinformatics 17 (2023) - [j7]Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi:
Tunable synaptic working memory with volatile memristive devices. Neuromorph. Comput. Eng. 3(4): 44004 (2023) - [c5]Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel:
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time. ICLR 2023 - [i14]David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney:
Block-local learning with probabilistic latent representations. CoRR abs/2305.14974 (2023) - [i13]Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi:
Tunable Synaptic Working Memory with Volatile Memristive Devices. CoRR abs/2306.14691 (2023) - [i12]Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Christian Mayr, David Kappel, Anand Subramoney:
Language Modeling on a SpiNNaker 2 Neuromorphic Chip. CoRR abs/2312.09084 (2023) - 2022
- [c4]Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi:
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories. ICECS 2022 2022: 1-4 - [i11]Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel:
EGRU: Event-based GRU for activity-sparse inference and learning. CoRR abs/2206.06178 (2022) - [i10]Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi:
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories. CoRR abs/2211.03081 (2022) - 2021
- [j6]Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier:
Structural plasticity on an accelerated analog neuromorphic hardware system. Neural Networks 133: 11-20 (2021) - 2020
- [c3]Matthias Jobst, Chen Liu, Johannes Partzsch, Yexin Yan, David Kappel, Hector A. Gonzalez, Yue Ji, Bernhard Vogginger, Christian Mayr:
Event-based Neural Network for ECG Classification with Delta Encoding and Early Stopping. EBCCSP 2020: 1-4 - [i9]Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann:
Embodied Synaptic Plasticity with Online Reinforcement learning. CoRR abs/2003.01431 (2020) - [i8]Erika Covi, Elisa Donati, Hadi Heidari, David Kappel, Xiangpeng Liang, Melika Payvand, Wei Wang:
Adaptive Extreme Edge Computing for Wearable Devices. CoRR abs/2012.14937 (2020)
2010 – 2019
- 2019
- [j5]Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann:
Embodied Synaptic Plasticity With Online Reinforcement Learning. Frontiers Neurorobotics 13: 81 (2019) - [j4]Yexin Yan, David Kappel, Felix Neumärker, Johannes Partzsch, Bernhard Vogginger, Sebastian Höppner, Steve B. Furber, Wolfgang Maass, Robert Legenstein, Christian Mayr:
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype. IEEE Trans. Biomed. Circuits Syst. 13(3): 579-591 (2019) - [i7]Yexin Yan, David Kappel, Felix Neumärker, Johannes Partzsch, Bernhard Vogginger, Sebastian Höppner, Steve B. Furber, Wolfgang Maass, Robert Legenstein, Christian Mayr:
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype. CoRR abs/1903.08500 (2019) - [i6]Lukas Hahne, Timo Lüddecke, Florentin Wörgötter, David Kappel:
Attention on Abstract Visual Reasoning. CoRR abs/1911.05990 (2019) - [i5]Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier:
Structural plasticity on an accelerated analog neuromorphic hardware system. CoRR abs/1912.12047 (2019) - 2018
- [c2]Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein:
Deep Rewiring: Training very sparse deep networks. ICLR (Poster) 2018 - 2017
- [i4]David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh, Wolfgang Maass:
Reward-based stochastic self-configuration of neural circuits. CoRR abs/1704.04238 (2017) - [i3]Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein:
Deep Rewiring: Training very sparse deep networks. CoRR abs/1711.05136 (2017) - 2016
- [i2]Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, Wolfgang Maass:
Hamiltonian synaptic sampling in a model for reward-gated network plasticity. CoRR abs/1606.00157 (2016) - 2015
- [j3]David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass:
Network Plasticity as Bayesian Inference. PLoS Comput. Biol. 11(11) (2015) - [c1]David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass:
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring. NIPS 2015: 370-378 - [i1]David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass:
Network Plasticity as Bayesian Inference. CoRR abs/1504.05143 (2015) - 2014
- [j2]Dejan Pecevski, David Kappel, Zeno Jonke:
NEVESIM: event-driven neural simulation framework with a Python interface. Frontiers Neuroinformatics 8: 70 (2014) - [j1]David Kappel, Bernhard Nessler, Wolfgang Maass:
STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning. PLoS Comput. Biol. 10(3) (2014)
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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