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 | 768 | 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 | 268 | 2007 |
Theory and Simulation in Neuroscience W Gerstner, H Sprekeler, G Deco Science 338 (6103), 60-65, 2012 | 216 | 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 | 207 | 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 | 173 | 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 | 162 | 2013 |
Sparse bursts optimize information transmission in a multiplexed neural code R Naud, H Sprekeler Proceedings of the National Academy of Sciences, 201720995, 2018 | 123 | 2018 |
Slowness: An objective for spike timing-dependent plasticity? H Sprekeler, C Michaelis, L Wiskott PLoS Computational Biology 3 (6), e112, 2007 | 101 | 2007 |
On the relation of slow feature analysis and laplacian eigenmaps H Sprekeler Neural computation 23, 303-335, 2011 | 90 | 2011 |
Functional consequences of inhibitory plasticity: homeostasis, the excitation-inhibition balance and beyond H Sprekeler Current opinion in neurobiology 43, 198-203, 2017 | 85 | 2017 |
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 | 85* | 2014 |
Predictive coding and the slowness principle: An information-theoretic approach F Creutzig, H Sprekeler Neural Computation 20 (4), 1026-1041, 2008 | 75 | 2008 |
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 | 67 | 2020 |
Memory replay in balanced recurrent networks N Chenkov, H Sprekeler, R Kempter PLoS computational biology 13 (1), e1005359, 2017 | 67 | 2017 |
Slow feature analysis L Wiskott, P Berkes, M Franzius, H Sprekeler, N Wilbert Scholarpedia 6 (4), 5282, 2011 | 58 | 2011 |
Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception A Kutschireiter, SC Surace, H Sprekeler, JP Pfister Scientific reports 7 (1), 8722, 2017 | 57 | 2017 |
Learning place cells, grid cells and invariances with excitatory and inhibitory plasticity SN Weber, H Sprekeler Elife 7, e34560, 2018 | 53 | 2018 |
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 | 52 | 2019 |
Inhibition as a binary switch for excitatory plasticity in pyramidal neurons KA Wilmes, H Sprekeler, S Schreiber PLoS computational biology 12 (3), e1004768, 2016 | 51 | 2016 |
Learning prediction error neurons in a canonical interneuron circuit L Hertäg, H Sprekeler eLife 9, e57541, 2020 | 48 | 2020 |