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TU Berlin

Inhalt des Dokuments

Preprints

  • S.N. Weber, H. Sprekeler
    Learning place cells, grid cells and invariances: A unifying model 
    bioRxiv, doi.org/10.1101/102525
    pdf
  • A. Kutschireiter, S.C.  Surace, H.  Sprekeler, J.P.  Pfister
    The Neural Particle Filter 
    arXiv, arXiv:1508.06818v2
    pdf
  • C. Clopath, T.P. Vogels, R.C. Froemke, H. Sprekeler
    Receptive field formation by interacting excitatory and inhibitory synaptic plasticity 
    bioRxiv, doi.org/10.1101/066589
    pdf

Publications

  • N. Chenkov, H. Sprekeler, R. Kempter
    Memory replay in balanced recurrent networks
    PLoS Comput Biol 13(1): e1005359
    pdf
  • K.A. Wilmes, H. Sprekeler, S. Schreiber
    Inhibition as a Binary Switch for Excitatory Plasticity in Pyramidal Neurons
    PLoS Computational Biology, 12(2), e1004768
    pdf
  • T. D'Albis, J. Jaramillo, H. Sprekeler, R. Kempter
    Inheritance of Hippocampal Place Fields Through Hebbian Learning: Effects of Theta Modulation and Phase Precession of Structure Formation
    Neural Computation, 27(8), 1624-1672
    pdf
  • A. Kutschireiter, S.C. Surace, H. Sprekeler, J.-P. Pfister
    A Neural Implementation for Nonlinear Filtering
    arXiv preprint arXiv:1508.006818
    pdf
  • 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)

Zusatzinformationen / Extras