Henning Sprekeler
Affiliations: | University of Cambridge, Cambridge, England, United Kingdom |
Area:
Computational NeuroscienceWebsite:
http://learning.eng.cam.ac.uk/Public/Sprekeler/WebHomeGoogle:
"Henning Sprekeler"Mean distance: 13.43 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Laurenz Wiskott | grad student | 2004-2008 | HU Berlin |
| Richard Kempter | post-doc | 2011- | HU Berlin |
| Wulfram Gerstner | post-doc | 2008-2011 | EPFL |
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Publications
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| Naud R, Sprekeler H. (2018) Sparse bursts optimize information transmission in a multiplexed neural code. Proceedings of the National Academy of Sciences of the United States of America |
| Chenkov N, Sprekeler H, Kempter R. (2017) Memory replay in balanced recurrent networks. Plos Computational Biology. 13: e1005359 |
| Wilmes KA, Sprekeler H, Schreiber S. (2016) Inhibition as a Binary Switch for Excitatory Plasticity in Pyramidal Neurons. Plos Computational Biology. 12: e1004768 |
| D'Albis T, Jaramillo J, Sprekeler H, et al. (2015) Inheritance of Hippocampal Place Fields Through Hebbian Learning: Effects of Theta Modulation and Phase Precession on Structure Formation. Neural Computation. 27: 1624-72 |
| D'Albis T, Jaramillo J, Sprekeler H, et al. (2015) Inheritance of hippocampal place fields through hebbian learning: Effects of theta modulation and phase precession on structure formation Neural Computation. 27: 1624-1672 |
| Rehn EM, Sprekeler H. (2014) Nonlinear supervised locality preserving projections for visual pattern discrimination Proceedings - International Conference On Pattern Recognition. 1568-1573 |
| Sprekeler H, Zito T, Wiskott L. (2014) An extension of slow feature analysis for nonlinear blind source separation Journal of Machine Learning Research. 15: 921-947 |
| Vogels TP, Froemke RC, Doyon N, et al. (2013) Inhibitory synaptic plasticity: spike timing-dependence and putative network function. Frontiers in Neural Circuits. 7: 119 |
| Frémaux N, Sprekeler H, Gerstner W. (2013) Reinforcement learning using a continuous time actor-critic framework with spiking neurons. Plos Computational Biology. 9: e1003024 |
| Pawlak V, Greenberg DS, Sprekeler H, et al. (2013) Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo. Elife. 2: e00012 |