Laurenz Wiskott

Humboldt-Universität zu Berlin, Berlin, Germany 
"Laurenz Wiskott"
Mean distance: 12.26 (cluster 17)
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Rubchinsky LL, Ahn S, Klijn W, et al. (2017) 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18
Dähne S, Wilbert N, Wiskott L. (2014) Slow feature analysis on retinal waves leads to V1 complex cells. Plos Computational Biology. 10: e1003564
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
Wilbert N, Zito T, Schuppner RB, et al. (2013) Building extensible frameworks for data processing: The case of MDP, Modular toolkit for Data Processing Journal of Computational Science. 4: 345-351
Sprekeler H, Wiskott L. (2011) A theory of slow feature analysis for transformation-based input signals with an application to complex cells. Neural Computation. 23: 303-35
Wiskott L, Berkes P, Franzius M, et al. (2011) Slow feature analysis Scholarpedia. 6: 5282
Legenstein R, Wilbert N, Wiskott L. (2010) Reinforcement learning on slow features of high-dimensional input streams. Plos Computational Biology. 6
Zito T, Wilbert N, Wiskott L, et al. (2008) Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework. Frontiers in Neuroinformatics. 2: 8
Goodhill G, Baker C, Balasubramanian V, et al. (2008) Network: Computation in Neural Systems: Editorial Network: Computation in Neural Systems. 19: 1-2
Franzius M, Sprekeler H, Wiskott L. (2007) Slowness and sparseness lead to place, head-direction, and spatial-view cells. Plos Computational Biology. 3: e166
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