Publications

1. Articles

   • H. Sprekeler, T. Zito and L. Wiskott
     An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation
     Journal of Machine Learning Research 15, 921-947
     pdf
     
   • N. Fremaux, H. Sprekeler, W. Gerstner (2013)
     Reinforcement Learning using a Continuous Time Actor-Critic Framework with Spiking Neurons
     PLoS Computational Biology, 9(4): e1003024
     pdf
     
   • V. Pawlak, D. S. Greenberg, H. Sprekeler, W. Gerstner, J. Kerr (2013)
     Changing the responses of cortical neurons from sub- to supra-threshold using single spikes in vivo
     eLife 2013;2:e00012
     pdf
     
   • J. Rüter, H. Sprekeler, W. Gerstner, M. H. Herzog (2012)
     The silent period of evidence integration in fast decision making
     PloS One 8(1):e46525
     pdf
     
   • W. Gerstner, H. Sprekeler, G. Deco (2012)
     Theory and simulation in neuroscience
     Science 338:60-65
     pdf on the Science website
     
   • M. H. Herzog, K. C. Aberg, N. Fremaux, W. Gerstner, H. Sprekeler (2012)
     Perceptual learning, Roving & the Unsupervised Bias
     Vision Research, 61:95-99
     pdf available online
     
   • T. Vogels*, H. Sprekeler*, F. Zenke, C. Clopath and W. Gerstner (2011)
     Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks
     Science, 334:1569-1573
     look here for a pdf
   • J. Rüter, N. Marcille, H. Sprekeler, W. Gerstner and M. Herzog (2011)
     Paradoxical evidence integration in rapid decision processes
     PLoS Computational Biology, 8(2):e1002382
     pdf
     
   • H. Sprekeler (2011)
     On the Relation of Slow Feature Analysis and Laplacian Eigenmaps
     Neural Computation 23:3287-3302
     pdf
   • H. Sprekeler and L. Wiskott (2011)
     A Theory of Slow Feature Analysis for Transformation-Based Input Signals
     with an Application to Complex Cells
     Neural Computation 23:303-335
     pdf
   • N. Fremaux*, H. Sprekeler* and W. Gerstner (2010)
     Functional Requirements for Reward-modulated Spike Timing-Dependent Plasticity
     Journal of Neuroscience 30:13326-13337
     pdf
     
   • L. Wiskott, P. Berkes, M. Franzius, H. Sprekeler and N. Wilbert (2010)
     Slow Feature Analysis
     Scholarpedia, 6(4):5282
     link
   • H. Sprekeler, G. Hennequin and W.Gerstner (2009)
     Code-Specific Policy-Gradient Rules for Spiking Neurons
     Advances in Neural Information Processing Systems 22 (NIPS 2009)
     pdf
   • F. Creutzig and H. Sprekeler (2008)
     Predictive Coding and the Slowness Principle: An Information-Theoretic Approach
     Neural Computation 20:1026-41
     pdf
   • M. Franzius*, H. Sprekeler* and L. Wiskott (2007)
     Slowness and Sparseness lead to Place, Head-Direction and Spatial-View Cells
     PLoS Computational Biology, 3(8):e166
     pdf
   • H. Sprekeler, C. Michaelis and L. Wiskott (2007)
     Slowness: An Objective for Spike-Timing-Dependent Plasticity?
     PLoS Computational Biology 3(6):e112
     pdf
   • G. Kießlich, H. Sprekeler, A. Wacker, and E. Schöll (2004)
     Positive Correlations in Tunneling through coupled Quantum Dots
     Semiconductor Science and Technology 19, S 37
     (pdf on cond-mat)
   • H. Sprekeler, G. Kießlich, A. Wacker, and E. Schöll (2004)
     Coulomb Effects in Tunneling through a Quantum Dot Stack
     Phys. Rev. B 69, 125328
     (pdf on cond-mat)
   
   

   Awards

   • Bernstein Award 2011 from the German Ministry for Science and Education
   • Humboldt Award 2009 of the Humboldt-Universität zu Berlin
     for my PhD Thesis: Slowness Learning: Mathematical Approaches and Synaptic Mechanisms

   Thesis

   • Slowness Learning: Mathematical Approaches and Synaptic Mechanisms
     PhD Thesis, Humboldt-Universität zu Berlin (2009)
     pdf