Henning Sprekeler

Citée par

	Toutes	Depuis 2020
Citations	3622	1969
indice h	28	24
indice i10	42	34

480

240

120

360

200720082009201020112012201320142015201620172018201920202021202220232024202511 37 32 46 49 77 135 170 175 190 224 242 226 309 327 322 436 468 103

Accès public

Tout afficher

35 articles

1 article

disponibles

non disponibles

Sur la base des exigences liées au financement

Coauteurs

Wulfram GerstnerEPFLAdresse e-mail validée de epfl.ch
Laurenz WiskottProfessor of Theory of Neural Systems, Institut für Neuroinformatik, Ruhr-Universität BochumAdresse e-mail validée de ini.rub.de
Tim P. VogelsInstitute of Science and Technology, AustriaAdresse e-mail validée de ist.ac.at
Friedemann ZenkeFriedrich Miescher Institute (FMI), University of BaselAdresse e-mail validée de fmi.ch
Prof. Claudia ClopathBioengineering, Imperial College LondonAdresse e-mail validée de imperial.ac.uk
Joram KeijserUniversity College LondonAdresse e-mail validée de ucl.ac.uk
Nicolas FrémauxPhD student, Brain Mind Institiute, Ecole Polytechnique de LausanneAdresse e-mail validée de epfl.ch
Laura Bella NaumannInstitute of Science and Technology, AustriaAdresse e-mail validée de ist.ac.at
Robert Tjarko LangeSakana AI, TU BerlinAdresse e-mail validée de tu-berlin.de
Loreen HertägTU BerlinAdresse e-mail validée de tu-berlin.de
Richard NaudDepartment of Cellular and Molecular Medicine, Department of Physics, University of OttawaAdresse e-mail validée de uottawa.ca
Robert FroemkeNYU School of MedicineAdresse e-mail validée de med.nyu.edu
M. Belén PardiInserm, Institute of Psychiatry and Neuroscience of ParisAdresse e-mail validée de inserm.fr
Tamas DalmayProfessor of RNA Biology, University of East AngliaAdresse e-mail validée de uea.ac.uk
Richard KempterInstitute for Theoretical BiologyAdresse e-mail validée de biologie.hu-berlin.de
Michael HerzogEPFL, SwitzerlandAdresse e-mail validée de epfl.ch
Mathias FranziusHonda Research Institute EuropeAdresse e-mail validée de honda-ri.de
Simon N WeberTechnische Universität BerlinAdresse e-mail validée de tu-berlin.de
Jean-Pascal PfisterProfessor of Theoretical Neuroscience, Department of Physiology, University of BernAdresse e-mail validée de unibe.ch
Simone Carlo SuracePostdoctoral fellow, Department of Physiology, University of Bern and Institute for NeuroinformaticsAdresse e-mail validée de unibe.ch

Suivre

Henning Sprekeler

Technische Universität Berlin

Adresse e-mail validée de tu-berlin.de

Computational Neuroscience


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks TP Vogels, H Sprekeler, F Zenke, C Clopath, W Gerstner Science 334 (6062), 1569-1573, 2011	844	2011
Slowness and sparseness lead to place, head-direction, and spatial-view cells M Franzius, H Sprekeler, L Wiskott PLoS Computational Biology 3 (8), e166, 2007	277	2007
Theory and Simulation in Neuroscience W Gerstner, H Sprekeler, G Deco Science 338 (6103), 60-65, 2012	229	2012
Reinforcement learning using a continuous time actor-critic framework with spiking neurons N Frémaux, H Sprekeler, W Gerstner PLoS computational biology 9 (4), e1003024, 2013	228	2013
Functional requirements for reward-modulated spike-timing-dependent plasticity N Frémaux, H Sprekeler, W Gerstner The Journal of Neuroscience 30 (40), 13326-13337, 2010	184	2010
Inhibitory synaptic plasticity: spike timing-dependence and putative network function TP Vogels, RC Froemke, N Doyon, M Gilson, JS Haas, R Liu, A Maffei, ... Frontiers in neural circuits 7, 119, 2013	170	2013
Sparse bursts optimize information transmission in a multiplexed neural code R Naud, H Sprekeler Proceedings of the National Academy of Sciences, 201720995, 2018	144	2018
Slowness: An objective for spike timing-dependent plasticity? H Sprekeler, C Michaelis, L Wiskott PLoS Computational Biology 3 (6), e112, 2007	103	2007
Functional consequences of inhibitory plasticity: homeostasis, the excitation-inhibition balance and beyond H Sprekeler Current opinion in neurobiology 43, 198-203, 2017	96	2017
On the relation of slow feature analysis and laplacian eigenmaps H Sprekeler Neural computation 23, 303-335, 2011	90	2011
An extension of slow feature analysis for nonlinear blind source separation H Sprekeler, T Zito, L Wiskott The Journal of Machine Learning Research 15 (1), 921-947, 2014	89*	2014
A thalamocortical top-down circuit for associative memory MB Pardi, J Vogenstahl, T Dalmay, T Spanò, DL Pu, LB Naumann, ... Science 370 (6518), 844-848, 2020	84	2020
Predictive coding and the slowness principle: An information-theoretic approach F Creutzig, H Sprekeler Neural Computation 20 (4), 1026-1041, 2008	75	2008
Memory replay in balanced recurrent networks N Chenkov, H Sprekeler, R Kempter PLoS computational biology 13 (1), e1005359, 2017	73	2017
Learning place cells, grid cells and invariances with excitatory and inhibitory plasticity SN Weber, H Sprekeler Elife 7, e34560, 2018	63	2018
Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception A Kutschireiter, SC Surace, H Sprekeler, JP Pfister Scientific reports 7 (1), 8722, 2017	62	2017
Slow feature analysis L Wiskott Encyclopedia of Computational Neuroscience, 3142-3143, 2022	61	2022
Amplifying the redistribution of somato-dendritic inhibition by the interplay of three interneuron types L Hertäg, H Sprekeler PLoS computational biology 15 (5), e1006999, 2019	58	2019
Learning prediction error neurons in a canonical interneuron circuit L Hertäg, H Sprekeler eLife 9, e57541, 2020	55	2020
Inhibition as a binary switch for excitatory plasticity in pyramidal neurons KA Wilmes, H Sprekeler, S Schreiber PLoS computational biology 12 (3), e1004768, 2016	52	2016

Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.

Articles 1–20

Nombre de citations par an

Citations en double

Citations fusionnées

Ajouter les coauteursCoauteurs

Suivre

Citée par

Coauteurs