Henning Sprekeler

According to our database, Henning Sprekeler authored at least 27 papers between 2007 and 2024.

Collaborative distances:

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

2024

Boosting Fairness and Robustness in Over-the-Air Federated Learning.

Halil Yigit Öksüz, Fabio Molinari, Henning Sprekeler, Jörg Raisch

CoRR, 2024

2023

Lottery tickets in evolutionary optimization: On sparse backpropagation-free trainability.

Robert Tjarko Lange, Henning Sprekeler

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Federated Learning in Wireless Networks via Over-the-Air Computations.

Halil Yigit Öksüz, Fabio Molinari, Henning Sprekeler, Jörg Raisch

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Optimizing interneuron circuits for compartment-specific feedback inhibition.

Joram Keijser, Henning Sprekeler

PLoS Comput. Biol., 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

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

On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning.

Marc Aurel Vischer, Robert Tjarko Lange, Henning Sprekeler

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Not to Learn: Nature versus Nurture In Silico.

Robert Tjarko Lange, Henning Sprekeler

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Self-organization of a doubly asynchronous irregular network state for spikes and bursts.

Filip Vercruysse, Richard Naud, Henning Sprekeler

PLoS Comput. Biol., 2021

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

2020

Presynaptic inhibition rapidly stabilises recurrent excitation in the face of plasticity.

Laura Bella Naumann, Henning Sprekeler

PLoS Comput. Biol., 2020

2019

A local measure of symmetry and orientation for individual spikes of grid cells.

Simon N. Weber, Henning Sprekeler

PLoS Comput. Biol., 2019

Amplifying the redistribution of somato-dendritic inhibition by the interplay of three interneuron types.

Loreen Hertäg, Henning Sprekeler

PLoS Comput. Biol., 2019

2017

Memory replay in balanced recurrent networks.

Nikolay Chenkov, Henning Sprekeler, Richard Kempter

PLoS Comput. Biol., 2017

2016

Inhibition as a Binary Switch for Excitatory Plasticity in Pyramidal Neurons.

Katharina A. Wilmes, Henning Sprekeler, Susanne Schreiber

PLoS Comput. Biol., 2016

2015

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

2014

An extension of slow feature analysis for nonlinear blind source separation.

Henning Sprekeler, Tiziano Zito, Laurenz Wiskott

J. Mach. Learn. Res., 2014

Nonlinear Supervised Locality Preserving Projections for Visual Pattern Discrimination.

Erik M. Rehn, Henning Sprekeler

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons.

Nicolas Frémaux, Henning Sprekeler, Wulfram Gerstner

PLoS Comput. Biol., 2013

2012

Paradoxical Evidence Integration in Rapid Decision Processes.

Johannes Rüter, Nicolas Marcille, Henning Sprekeler, Wulfram Gerstner, Michael H. Herzog

PLoS Comput. Biol., 2012

2011

Slow feature analysis.

Laurenz Wiskott, Pietro Berkes, Mathias Franzius, Henning Sprekeler, Niko Wilbert

Scholarpedia, 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

On the Relation of Slow Feature Analysis and Laplacian Eigenmaps.

Henning Sprekeler

Neural Comput., 2011

2009

Code-specific policy gradient rules for spiking neurons.

Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Predictive Coding and the Slowness Principle: An Information-Theoretic Approach.

Felix Creutzig, Henning Sprekeler

Neural Comput., 2008

2007

Slowness: An Objective for Spike-Timing-Dependent Plasticity?

Henning Sprekeler, Christian Michaelis, Laurenz Wiskott

PLoS Comput. Biol., 2007

Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells.

Mathias Franzius, Henning Sprekeler, Laurenz Wiskott

PLoS Comput. Biol., 2007