David Kappel

43 papers A* 1C 1Journal 33Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Training event-based neural networks with exact gradients via Differentiable ODE Solving in JAX.
CoRR
Lukas König, Manuel Kuhn, David Kappel, Anand Subramoney
2025 — conf
Utilizing Dynamic Sparsity on Pretrained DETR.
MLSP
Reza Sedghi, Anand Subramoney, David Kappel
2025 J jnl
Utilizing dynamic sparsity on pretrained DETR.
CoRR
Reza Sedghi, Anand Subramoney, David Kappel
2024 J jnl
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates.
CoRR
Cabrel Teguemne Fokam, Khaleelulla Khan Nazeer, Lukas König, David Kappel, Anand Subramoney
2024 C conf
Coincidence Detection with an Analog Spiking Neuron Exploiting Ferroelectric Polarization.
ISCAS
Paolo Gibertini, Luca Fehlings, Thomas Mikolajick, Elisabetta Chicca, David Kappel, Erika Covi
2024 J jnl
Global remapping emerges as the mechanism for renewal of context-dependent behavior in a reinforcement learning model.
Frontiers Comput. Neurosci.
David Kappel, Sen Cheng
2024 J jnl
Inverting Visual Representations with Detection Transformers.
CoRR
Jan Rathjens, Shirin Reyhanian, David Kappel, Laurenz Wiskott
2024 — conf
Language Modeling on a SpiNNaker2 Neuromorphic Chip.
AICAS
Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney
2024 J jnl
Neuromorphic hardware for sustainable AI data centers.
CoRR
Bernhard Vogginger, Amirhossein Rostami, Vaibhav Jain, Sirine Arfa, Andreas Hantsch, David Kappel, Michael Schäfer, Ulrike Faltings, Hector A. Gonzalez, Chen Liu, Christian Mayr
2024 J jnl
STREAM: A Universal State-Space Model for Sparse Geometric Data.
CoRR
Mark Schöne, Yash Bhisikar, Karan Bania, Khaleelulla Khan Nazeer, Christian Mayr, Anand Subramoney, David Kappel
2024 — conf
Scalable Event-by-Event Processing of Neuromorphic Sensory Signals with Deep State-Space Models.
ICONS
Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel
2024 J jnl
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models.
CoRR
Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel
2024 J jnl
State-space models can learn in-context by gradient descent.
CoRR
Neeraj Mohan Sushma, Yudou Tian, Harshvardhan Mestha, Nicolò Colombo, David Kappel, Anand Subramoney
2024 J jnl
Synapses learn to utilize stochastic pre-synaptic release for the prediction of postsynaptic dynamics.
PLoS Comput. Biol.
David Kappel, Christian Tetzlaff
2024 — conf
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models.
ICONS
Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney
2024 J jnl
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models.
CoRR
Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney
2023 J jnl
Block-local learning with probabilistic latent representations.
CoRR
David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney
2023 J jnl
CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning.
Frontiers Neuroinformatics
Nicolas Diekmann, Sandhiya Vijayabaskaran, Xiangshuai Zeng, David Kappel, Matheus Chaves Menezes, Sen Cheng
2023 A* conf
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time.
ICLR
Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel
2023 J jnl
Language Modeling on a SpiNNaker 2 Neuromorphic Chip.
CoRR
Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Christian Mayr, David Kappel, Anand Subramoney
2023 J jnl
Tunable Synaptic Working Memory with Volatile Memristive Devices.
CoRR
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
2023 J jnl
Tunable synaptic working memory with volatile memristive devices.
Neuromorph. Comput. Eng.
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
2022 — conf
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories.
ICECS 2022
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
2022 J jnl
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories.
CoRR
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
2022 J jnl
EGRU: Event-based GRU for activity-sparse inference and learning.
CoRR
Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel
2021 J jnl
Structural plasticity on an accelerated analog neuromorphic hardware system.
Neural Networks
Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier
2020 J jnl
Adaptive Extreme Edge Computing for Wearable Devices.
CoRR
Erika Covi, Elisa Donati, Hadi Heidari, David Kappel, Xiangpeng Liang, Melika Payvand, Wei Wang
2020 J jnl
Embodied Synaptic Plasticity with Online Reinforcement learning.
CoRR
Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann
2020 — conf
Event-based Neural Network for ECG Classification with Delta Encoding and Early Stopping.
EBCCSP
Matthias Jobst, Chen Liu, Johannes Partzsch, Yexin Yan, David Kappel, Hector A. Gonzalez, Yue Ji, Bernhard Vogginger, Christian Mayr
2019 J jnl
Attention on Abstract Visual Reasoning.
CoRR
Lukas Hahne, Timo Lüddecke, Florentin Wörgötter, David Kappel
2019 J jnl
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.
CoRR
Yexin Yan, David Kappel, Felix Neumärker, Johannes Partzsch, Bernhard Vogginger, Sebastian Höppner, Steve B. Furber, Wolfgang Maass, Robert Legenstein, Christian Mayr
2019 J jnl
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.
IEEE Trans. Biomed. Circuits Syst.
Yexin Yan, David Kappel, Felix Neumärker, Johannes Partzsch, Bernhard Vogginger, Sebastian Höppner, Steve B. Furber, Wolfgang Maass, Robert Legenstein, Christian Mayr
2019 J jnl
Embodied Synaptic Plasticity With Online Reinforcement Learning.
Frontiers Neurorobotics
Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann
2019 J jnl
Structural plasticity on an accelerated analog neuromorphic hardware system.
CoRR
Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier
2018 — conf
Deep Rewiring: Training very sparse deep networks.
ICLR (Poster)
Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein
2017 J jnl
Deep Rewiring: Training very sparse deep networks.
CoRR
Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein
2017 J jnl
Reward-based stochastic self-configuration of neural circuits.
CoRR
David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh, Wolfgang Maass
2016 J jnl
Hamiltonian synaptic sampling in a model for reward-gated network plasticity.
CoRR
Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, Wolfgang Maass
2015 J jnl
Network Plasticity as Bayesian Inference.
CoRR
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass
2015 J jnl
Network Plasticity as Bayesian Inference.
PLoS Comput. Biol.
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass
2015 — conf
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring.
NIPS
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass
2014 J jnl
NEVESIM: event-driven neural simulation framework with a Python interface.
Frontiers Neuroinformatics
Dejan Pecevski, David Kappel, Zeno Jonke
2014 J jnl
STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning.
PLoS Comput. Biol.
David Kappel, Bernhard Nessler, Wolfgang Maass