David Kappel

According to our database, David Kappel authored at least 21 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Neuromorphic hardware for sustainable AI data centers.

Bernhard Vogginger, Amirhossein Rostami, Vaibhav Jain, Sirine Arfa, Andreas Hantsch, David Kappel, Michael Schäfer, Ulrike Faltings, Hector A. Gonzalez, Chen Liu, Christian Mayr

CoRR, 2024

2023

Tunable synaptic working memory with volatile memristive devices.

Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi

Neuromorph. Comput. Eng., December, 2023

CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning.

Nicolas Diekmann, Sandhiya Vijayabaskaran, Xiangshuai Zeng, David Kappel, Matheus Chaves Menezes, Sen Cheng

Frontiers Neuroinformatics, March, 2023

Language Modeling on a SpiNNaker 2 Neuromorphic Chip.

Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Christian Mayr, David Kappel, Anand Subramoney

CoRR, 2023

Block-local learning with probabilistic latent representations.

David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney

CoRR, 2023

Efficient recurrent architectures through activity sparsity and sparse back-propagation through time.

Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

EGRU: Event-based GRU for activity-sparse inference and learning.

Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel

CoRR, 2022

Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories.

Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022

2021

Structural plasticity on an accelerated analog neuromorphic hardware system.

Sebastian Billaudelle, Benjamin Cramer, Mihai A. Petrovici, Korbinian Schreiber, David Kappel, Johannes Schemmel, Karlheinz Meier

Neural Networks, 2021

2020

Adaptive Extreme Edge Computing for Wearable Devices.

Erika Covi, Elisa Donati, Hadi Heidari, David Kappel, Xiangpeng Liang, Melika Payvand, Wei Wang

CoRR, 2020

Event-based Neural Network for ECG Classification with Delta Encoding and Early Stopping.

Matthias Jobst, Chen Liu, Johannes Partzsch, Yexin Yan, David Kappel, Hector A. Gonzalez, Yue Ji, Bernhard Vogginger, Christian Mayr

Proceedings of the 6th International Conference on Event-Based Control, 2020

2019

Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.

Yexin Yan, David Kappel, Felix Neumärker, Johannes Partzsch, Bernhard Vogginger, Sebastian Höppner, Steve B. Furber, Wolfgang Maass, Robert Legenstein, Christian Mayr

IEEE Trans. Biomed. Circuits Syst., 2019

Embodied Synaptic Plasticity With Online Reinforcement Learning.

Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann

Frontiers Neurorobotics, 2019

Attention on Abstract Visual Reasoning.

Lukas Hahne, Timo Lüddecke, Florentin Wörgötter, David Kappel

CoRR, 2019

2018

Deep Rewiring: Training very sparse deep networks.

Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Reward-based stochastic self-configuration of neural circuits.

David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh, Wolfgang Maass

CoRR, 2017

2016

Hamiltonian synaptic sampling in a model for reward-gated network plasticity.

Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, Wolfgang Maass

CoRR, 2016

2015

Network Plasticity as Bayesian Inference.

David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass

PLoS Comput. Biol., 2015

Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring.

David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning.

David Kappel, Bernhard Nessler, Wolfgang Maass

PLoS Comput. Biol., 2014

NEVESIM: event-driven neural simulation framework with a Python interface.

Dejan Pecevski, David Kappel, Zeno Jonke

Frontiers Neuroinformatics, 2014