David Kappel

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 30

Top Topics

Synaptic Plasticity

Top Venues

Frontiers Neuroinformatics

PLoS Comput. Biol.

Publications

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 (2024)
Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney
Language Modeling on a SpiNNaker2 Neuromorphic Chip. AICAS (2024)
Paolo Gibertini, Luca Fehlings, Thomas Mikolajick, Elisabetta Chicca, David Kappel, Erika Covi
Coincidence Detection with an Analog Spiking Neuron Exploiting Ferroelectric Polarization. ISCAS (2024)
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 (2024)
Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. CoRR (2024)
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)
David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney
Block-local learning with probabilistic latent representations. CoRR (2023)
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
Tunable Synaptic Working Memory with Volatile Memristive Devices. CoRR (2023)
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)
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
Tunable synaptic working memory with volatile memristive devices. Neuromorph. Comput. Eng. 3 (4) (2023)
Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Christian Mayr, David Kappel, Anand Subramoney
Language Modeling on a SpiNNaker 2 Neuromorphic Chip. CoRR (2023)
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories. ICECS 2022 (2022)
Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories. CoRR (2022)
Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel
EGRU: Event-based GRU for activity-sparse inference and learning. CoRR (2022)
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 (2021)
Erika Covi, Elisa Donati, Hadi Heidari, David Kappel, Xiangpeng Liang, Melika Payvand, Wei Wang
Adaptive Extreme Edge Computing for Wearable Devices. CoRR (2020)
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 (2020)
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)
Lukas Hahne, Timo Lüddecke, Florentin Wörgötter, David Kappel
Attention on Abstract Visual Reasoning. CoRR (2019)
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) (2019)
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 (2019)
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 (2019)
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 (2019)
Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein
Deep Rewiring: Training very sparse deep networks. ICLR (Poster) (2018)
Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein
Deep Rewiring: Training very sparse deep networks. CoRR (2017)
David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh, Wolfgang Maass
Reward-based stochastic self-configuration of neural circuits. CoRR (2017)
Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, Wolfgang Maass
Hamiltonian synaptic sampling in a model for reward-gated network plasticity. CoRR (2016)
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass
Network Plasticity as Bayesian Inference. PLoS Comput. Biol. 11 (11) (2015)
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring. NIPS (2015)
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass
Network Plasticity as Bayesian Inference. CoRR (2015)
Dejan Pecevski, David Kappel, Zeno Jonke
NEVESIM: event-driven neural simulation framework with a Python interface. Frontiers Neuroinformatics 8 (2014)
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)