Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells. - Mathias Franzius; Henning Sprekeler; Laurenz Wiskott (PLoS Comput. Biol., 2007)

Slowness: An Objective for Spike-Timing-Dependent Plasticity? - Henning Sprekeler; Christian Michaelis; Laurenz Wiskott (PLoS Comput. Biol., 2007)

Predictive Coding and the Slowness Principle: An Information-Theoretic Approach. - Felix Creutzig; Henning Sprekeler (Neural Comput., 2008)

Code-specific policy gradient rules for spiking neurons. - Henning Sprekeler; Guillaume Hennequin; Wulfram Gerstner (NIPS, 2009)

On the Relation of Slow Feature Analysis and Laplacian Eigenmaps. - Henning Sprekeler (Neural Comput., 2011)

A Theory of Slow Feature Analysis for Transformation-Based Input Signals with an Application to Complex Cells. - Henning Sprekeler; Laurenz Wiskott (Neural Comput., 2011)

Slow feature analysis. - Laurenz Wiskott; Pietro Berkes; Mathias Franzius; Henning Sprekeler; Niko Wilbert (Scholarpedia, 2011)

Paradoxical Evidence Integration in Rapid Decision Processes. - Johannes Rüter; Nicolas Marcille; Henning Sprekeler; Wulfram Gerstner; Michael H. Herzog (PLoS Comput. Biol., 2012)

Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons. - Nicolas Frémaux; Henning Sprekeler; Wulfram Gerstner (PLoS Comput. Biol., 2013)

Nonlinear Supervised Locality Preserving Projections for Visual Pattern Discrimination. - Erik M. Rehn; Henning Sprekeler (ICPR, 2014)

An extension of slow feature analysis for nonlinear blind source separation. - Henning Sprekeler; Tiziano Zito; Laurenz Wiskott (J. Mach. Learn. Res., 2014)

Inheritance of Hippocampal Place Fields Through Hebbian Learning: Effects of Theta Modulation and Phase Precession on Structure Formation. - Tiziano D'Albis; Jorge Jaramillo; Henning Sprekeler; Richard Kempter (Neural Comput., 2015)

Inhibition as a Binary Switch for Excitatory Plasticity in Pyramidal Neurons. - Katharina A. Wilmes; Henning Sprekeler; Susanne Schreiber (PLoS Comput. Biol., 2016)

Memory replay in balanced recurrent networks. - Nikolay Chenkov; Henning Sprekeler; Richard Kempter (PLoS Comput. Biol., 2017)

Amplifying the redistribution of somato-dendritic inhibition by the interplay of three interneuron types. - Loreen Hertäg; Henning Sprekeler (PLoS Comput. Biol., 2019)

A local measure of symmetry and orientation for individual spikes of grid cells. - Simon N. Weber; Henning Sprekeler (PLoS Comput. Biol., 2019)

Presynaptic inhibition rapidly stabilises recurrent excitation in the face of plasticity. - Laura Bella Naumann; Henning Sprekeler (PLoS Comput. Biol., 2020)

Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation. - Michiel W. H. Remme; Urs Bergmann; Denis Alevi; Susanne Schreiber; Henning Sprekeler; Richard Kempter (PLoS Comput. Biol., 2021)

Self-organization of a doubly asynchronous irregular network state for spikes and bursts. - Filip Vercruysse; Richard Naud; Henning Sprekeler (PLoS Comput. Biol., 2021)

Learning Not to Learn: Nature versus Nurture In Silico. - Robert Tjarko Lange; Henning Sprekeler (AAAI, 2022)

On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning. - Marc Aurel Vischer; Robert Tjarko Lange; Henning Sprekeler (ICLR, 2022)

Restoring speech intelligibility for hearing aid users with deep learning. - Peter Udo Diehl; Yosef Singer; Hannes Zilly; Uwe Schönfeld; Paul Meyer-Rachner; Mark Berry; Henning Sprekeler; Elias Sprengel; Annett Pudszuhn; Veit M. Hofmann (CoRR, 2022)

Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs. - Denis Alevi; Marcel Stimberg; Henning Sprekeler; Klaus Obermayer; Moritz Augustin (Frontiers Neuroinformatics, 2022)

Optimizing interneuron circuits for compartment-specific feedback inhibition. - Joram Keijser; Henning Sprekeler (PLoS Comput. Biol., 2022)

Federated Learning in Wireless Networks via Over-the-Air Computations. - Halil Yigit Öksüz; Fabio Molinari; Henning Sprekeler; Jörg Raisch (CDC, 2023)

Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. - Robert Tjarko Lange; Henning Sprekeler (ICML, 2023)

Discovering Minimal Reinforcement Learning Environments. - Jarek Liesen; Chris Lu 001; Andrei Lupu; Jakob N. Foerster; Henning Sprekeler; Robert T. Lange (CoRR, 2024)

Boosting Fairness and Robustness in Over-the-Air Federated Learning. - Halil Yigit Öksüz; Fabio Molinari; Henning Sprekeler; Jörg Raisch (IEEE Control. Syst. Lett., 2024)

Tracking Mouse from Incomplete Body-Part Observations and Deep-Learned Deformable-Mouse Model Motion-Track Constraint for Behavior Analysis. - Olaf Hellwich; Niek Andresen; Katharina Hohlbaum; Marcus N. Boon; Monika Kwiatkowski; Simon Matern; Patrik Reiske; Henning Sprekeler; Christa Thöne-Reineke; Lars Lewejohann; Huma Ghani Zada; Michael Brück; et al. (CoRR, 2025)

Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes. - Patrik Reiske; Marcus N. Boon; Niek Andresen; Soledad Traverso; Katharina Hohlbaum; Lars Lewejohann; Christa Thöne-Reineke; Olaf Hellwich; Henning Sprekeler (CoRR, 2025)