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cs.LGcs.NEcs.AIcs.ETq-bio.NCneuroscienceLearningModels, NeurologicalNeural Networks, Computerreinforcement learning

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published · living versions
W_3w4rg5dq·v1 · currentpublished
The role of injected noise in diffusion model generalization
with Vincent Emmerling, Felix Günther
1 version

Preprints & journals

37 papers in the corpus · 2014–2026
Learning reorganizes dendritic and stabilizes axon initial segment inhibitory synapses in CA1 pyramidal neurons.42736304 · Klimmt, Hannah, Kuhn, Felix, Kappel, David et al.2026 · 0 citationsNature communications. 2026;17(1)
Frequency Domain Reservoir Computing2606.24969v1 · Klaus Schertler, Xiomara Runge, Andrea Ceni et al.2026 · 0 citationsarXiv
Breaking Chains with Trees: Model-Parallel Deep Learning with O(log⁡N)\mathcal{O}(\log N) Time Complexity2606.21497v2 · Neeraj Mohan Sushma, Aditya Nagarsekar, Cabrel Teguemne Fokam et al.2026 · 0 citationsarXiv
Dynamic sparsity in tree-structured feed-forward layers at scale2604.08565v1 · Reza Sedghi, Robin Schiewer, Anand Subramoney et al.2026 · 0 citationsarXiv
Training event-based neural networks with exact gradients via Differentiable ODE Solving in JAX2603.08146v3 · Lukas Konig, Manuel Kuhn, David Kappel et al.2026 · 1 citationarXiv
Utilizing dynamic sparsity on pretrained DETR2510.09380v1 · Reza Sedghi, Anand Subramoney, David Kappel2025 · 0 citationsarXiv
Global remapping emerges as the mechanism for renewal of context-dependent behavior in a reinforcement learning model.39881840 · Kappel, David, Cheng, Sen2025 · 3 citationsFrontiers in computational neuroscience. 2024;18:1462110
STREAM: A Universal State-Space Model for Sparse Geometric Data2411.12603v2 · Mark Schone, Yash Bhisikar, Karan Bania et al.2024 · 0 citationsarXiv
Synapses learn to utilize stochastic pre-synaptic release for the prediction of postsynaptic dynamics.39495714 · Kappel, David, Tetzlaff, Christian2024 · 4 citationsPLoS computational biology. 2024;20(11):e1012531
Learning in the Recurrent State: Gradient Descent with Linear Recurrent Networks2410.11687v4 · Yudou Tian, Neeraj Mohan Sushma, Harshvardhan Mestha et al.2024 · 1 citationarXiv
LAYUP: Asynchronous decentralized gradient descent with LAYer-wise UPdates2410.05985v4 · Cabrel Teguemne Fokam, Marcel Nieveler, Lukas Konig et al.2024 · 0 citationsarXiv
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models2405.00433v1 · Rishav Mukherji, Mark Schone, Khaleelulla Khan Nazeer et al.2024 · 3 citationsarXiv
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models2404.18508v3 · Mark Schone, Neeraj Mohan Sushma, Jingyue Zhuge et al.2024 · 20 citationsarXiv
Neuromorphic hardware for sustainable AI data centers2402.02521v2 · Bernhard Vogginger, Amirhossein Rostami, Vaibhav Jain et al.2024 · 9 citationsarXiv
Language Modeling on a SpiNNaker 2 Neuromorphic Chip2312.09084v3 · Khaleelulla Khan Nazeer, Mark Schone, Rishav Mukherji et al.2023 · 10 citationsarXiv
Tunable Synaptic Working Memory with Volatile Memristive Devices2306.14691v1 · Saverio Ricci, David Kappel, Christian Tetzlaff et al.2023 · 10 citationsNeuromorphic Computing and Engineering 2023
Block-local learning with probabilistic latent representations2305.14974v2 · David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam et al.2023 · 2 citationsarXiv
CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning.36970657 · Diekmann, Nicolas, Vijayabaskaran, Sandhiya, Zeng, Xiangshuai et al.2023 · 14 citationsFrontiers in neuroinformatics. 2023;17:1134405
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories2211.03081v1 · Saverio Ricci, David Kappel, Christian Tetzlaff et al.2022 · 3 citations2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time2206.06178v3 · Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schone et al.2022 · 13 citationsarXiv
Differential Hebbian learning with time-continuous signals for active noise reduction.35617161 · Möller, Konstantin, Kappel, David, Tamosiunaite, Minija et al.2022 · 5 citationsPloS one. 2022;17(5):e0266679
Adaptive Extreme Edge Computing for Wearable Devices.34045939 · Covi, Erika, Donati, Elisa, Liang, Xiangpeng et al.2024 · 177 citationsFrontiers in neuroscience. 2021;15:611300
A synapse-centric account of the free energy principle2103.12649v1 · David Kappel, Christian Tetzlaff2021 · 3 citationsarXiv
Structural plasticity on an accelerated analog neuromorphic hardware system.33091719 · Billaudelle, Sebastian, Cramer, Benjamin, Petrovici, Mihai A et al.2021 · 24 citationsNeural networks : the official journal of the International Neural Network Society. 2021;133:11-20
Attention on Abstract Visual Reasoning1911.05990v1 · Lukas Hahne, Timo Luddecke, Florentin Worgotter et al.2019 · 15 citationsarXiv
Embodied Synaptic Plasticity With Online Reinforcement Learning.31632262 · Kaiser, Jacques, Hoff, Michael, Konle, Andreas et al.2023 · 16 citationsFrontiers in neurorobotics. 2019;13:81
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.30932847 · Yan, Yexin, Kappel, David, Neumarker, Felix et al.2020 · 35 citationsIEEE transactions on biomedical circuits and systems. 2019;13(3):579-591
Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype.30505263 · Liu, Chen, Bellec, Guillaume, Vogginger, Bernhard et al.2020 · 70 citationsFrontiers in neuroscience. 2018;12:840
A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning.29696150 · Kappel, David, Legenstein, Robert, Habenschuss, Stefan et al.2019 · 56 citationseNeuro. 2018;5(2)
Deep Rewiring: Training very sparse deep networks1711.05136v5 · Guillaume Bellec, David Kappel, Wolfgang Maass et al.2017 · 172 citationsarXiv
CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling1606.00157v3 · Zhaofei Yu, David Kappel, Robert Legenstein et al.2016 · 5 citationsarXiv
Recurrent Spiking Networks Solve Planning Tasks.26888174 · Rueckert, Elmar, Kappel, David, Tanneberg, Daniel et al.2016 · 57 citationsScientific reports. 2016;6:21142
Network Plasticity as Bayesian Inference.26545099 · Kappel, David, Habenschuss, Stefan, Legenstein, Robert et al.2016 · 126 citationsPLoS computational biology. 2015;11(11):e1004485
NEVESIM: event-driven neural simulation framework with a Python interface.25177291 · Pecevski, Dejan, Kappel, David, Jonke, Zeno2014 · 22 citationsFrontiers in neuroinformatics. 2014;8:70
STDP installs in Winner-Take-All circuits an online approximation to hidden Markov model learning.24675787 · Kappel, David, Nessler, Bernhard, Maass, Wolfgang2014 · 119 citationsPLoS computational biology. 2014;10(3):e1003511
Career total: 63 works. 37 are in this corpus.

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