| 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 |
|
| 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: 10.1016/j.visres.2011.11.001 |
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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