Henning Sprekeler - Publications

University of Cambridge, Cambridge, England, United Kingdom 
Computational Neuroscience

24 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Naud R, Sprekeler H. Sparse bursts optimize information transmission in a multiplexed neural code. Proceedings of the National Academy of Sciences of the United States of America. PMID 29934400 DOI: 10.1073/pnas.1720995115  1
2017 Chenkov N, Sprekeler H, Kempter R. Memory replay in balanced recurrent networks. Plos Computational Biology. 13: e1005359. PMID 28135266 DOI: 10.1371/journal.pcbi.1005359  1
2017 Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Sprekeler H, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1  0.84
2016 Wilmes KA, Sprekeler H, Schreiber S. Inhibition as a Binary Switch for Excitatory Plasticity in Pyramidal Neurons. Plos Computational Biology. 12: e1004768. PMID 27003565 DOI: 10.1371/journal.pcbi.1004768  1
2015 D'Albis T, Jaramillo J, Sprekeler H, Kempter R. Inheritance of Hippocampal Place Fields Through Hebbian Learning: Effects of Theta Modulation and Phase Precession on Structure Formation. Neural Computation. 27: 1624-72. PMID 26079752 DOI: 10.1162/Neco_A_00752  1
2015 D'Albis T, Jaramillo J, Sprekeler H, Kempter R. Inheritance of hippocampal place fields through hebbian learning: Effects of theta modulation and phase precession on structure formation Neural Computation. 27: 1624-1672. DOI: 10.1162/NECO_a_00752  1
2014 Rehn EM, Sprekeler H. Nonlinear supervised locality preserving projections for visual pattern discrimination Proceedings - International Conference On Pattern Recognition. 1568-1573. DOI: 10.1109/ICPR.2014.278  1
2014 Sprekeler H, Zito T, Wiskott L. An extension of slow feature analysis for nonlinear blind source separation Journal of Machine Learning Research. 15: 921-947.  1
2013 Vogels TP, Froemke RC, Doyon N, Gilson M, Haas JS, Liu R, Maffei A, Miller P, Wierenga CJ, Woodin MA, Zenke F, Sprekeler H. Inhibitory synaptic plasticity: spike timing-dependence and putative network function. Frontiers in Neural Circuits. 7: 119. PMID 23882186 DOI: 10.3389/Fncir.2013.00119  0.84
2013 Frémaux N, Sprekeler H, Gerstner W. Reinforcement learning using a continuous time actor-critic framework with spiking neurons. Plos Computational Biology. 9: e1003024. PMID 23592970 DOI: 10.1371/journal.pcbi.1003024  1
2013 Pawlak V, Greenberg DS, Sprekeler H, Gerstner W, Kerr JN. Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo. Elife. 2: e00012. PMID 23359858 DOI: 10.7554/Elife.00012  1
2013 Rüter J, Sprekeler H, Gerstner W, Herzog MH. The silent period of evidence integration in fast decision making. Plos One. 8: e46525. PMID 23349660 DOI: 10.1371/journal.pone.0046525  1
2012 Gerstner W, Sprekeler H, Deco G. Theory and simulation in neuroscience. Science (New York, N.Y.). 338: 60-5. PMID 23042882 DOI: 10.1126/Science.1227356  1
2012 Rüter J, Marcille N, Sprekeler H, Gerstner W, Herzog MH. Paradoxical evidence integration in rapid decision processes. Plos Computational Biology. 8: e1002382. PMID 22359494 DOI: 10.1371/Journal.Pcbi.1002382  1
2012 Herzog MH, Aberg KC, Frémaux N, Gerstner W, Sprekeler H. Perceptual learning, roving and the unsupervised bias. Vision Research. 61: 95-9. PMID 22119774 DOI: 10.1068/V110194  1
2012 Pawlak V, Greenberg DS, Sprekeler H, Gerstner W, Kerr JN. Author response: Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo Elife. DOI: 10.7554/Elife.00012.012  1
2011 Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner W. Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science (New York, N.Y.). 334: 1569-73. PMID 22075724 DOI: 10.1126/Science.1211095  1
2011 Sprekeler H. On the relation of slow feature analysis and Laplacian eigenmaps. Neural Computation. 23: 3287-302. PMID 21919780 DOI: 10.1162/NECO_a_00214  1
2011 Sprekeler H, Wiskott L. A theory of slow feature analysis for transformation-based input signals with an application to complex cells. Neural Computation. 23: 303-35. PMID 21105830 DOI: 10.1162/NECO_a_00072  1
2010 Frémaux N, Sprekeler H, Gerstner W. Functional requirements for reward-modulated spike-timing-dependent plasticity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 13326-37. PMID 20926659 DOI: 10.1523/JNEUROSCI.6249-09.2010  1
2009 Sprekeler H, Hennequin G, Gerstner W. Code-specific policy gradient rules for spiking neurons Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1741-1749.  1
2008 Creutzig F, Sprekeler H. Predictive coding and the slowness principle: an information-theoretic approach. Neural Computation. 20: 1026-41. PMID 18085988 DOI: 10.1162/neco.2008.01-07-455  1
2007 Franzius M, Sprekeler H, Wiskott L. Slowness and sparseness lead to place, head-direction, and spatial-view cells. Plos Computational Biology. 3: e166. PMID 17784780 DOI: 10.1371/journal.pcbi.0030166  1
2007 Sprekeler H, Michaelis C, Wiskott L. Slowness: an objective for spike-timing-dependent plasticity? Plos Computational Biology. 3: e112. PMID 17604445 DOI: 10.1371/journal.pcbi.0030112  1
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