Laurenz Wiskott - Publications

Affiliations: 
Humboldt-Universität zu Berlin, Berlin, Germany 

52 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
2015 Neher T, Cheng S, Wiskott L. Memory storage fidelity in the hippocampal circuit: the role of subregions and input statistics. Plos Computational Biology. 11: e1004250. PMID 25954996 DOI: 10.1371/journal.pcbi.1004250  1
2015 Schönfeld F, Wiskott L. Modeling place field activity with hierarchical slow feature analysis Frontiers in Computational Neuroscience. 9. DOI: 10.3389/fncom.2015.00051  1
2014 Zhang S, Schönfeld F, Wiskott L, Manahan-Vaughan D. Spatial representations of place cells in darkness are supported by path integration and border information. Frontiers in Behavioral Neuroscience. 8: 222. PMID 25009477 DOI: 10.3389/fnbeh.2014.00222  1
2014 Dähne S, Wilbert N, Wiskott L. Slow feature analysis on retinal waves leads to V1 complex cells. Plos Computational Biology. 10: e1003564. PMID 24810948 DOI: 10.1371/journal.pcbi.1003564  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 Azizi AH, Wiskott L, Cheng S. A computational model for preplay in the hippocampus. Frontiers in Computational Neuroscience. 7: 161. PMID 24282402 DOI: 10.3389/fncom.2013.00161  1
2013 Schönfeld F, Wiskott L. RatLab: an easy to use tool for place code simulations. Frontiers in Computational Neuroscience. 7: 104. PMID 23908627 DOI: 10.3389/fncom.2013.00104  1
2013 Krüger N, Janssen P, Kalkan S, Lappe M, Leonardis A, Piater J, Rodríguez-Sánchez AJ, Wiskott L. Deep hierarchies in the primate visual cortex: what can we learn for computer vision? Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1847-71. PMID 23787340 DOI: 10.1109/Tpami.2012.272  1
2013 Minh HQ, Wiskott L. Multivariate slow feature analysis and decorrelation filtering for blind source separation. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 22: 2737-50. PMID 23591489 DOI: 10.1109/TIP.2013.2257808  1
2013 Wilbert N, Zito T, Schuppner RB, Jedrzejewski-Szmek Z, Wiskott L, Berkes P. Building extensible frameworks for data processing: The case of MDP, Modular toolkit for Data Processing Journal of Computational Science. 4: 345-351. DOI: 10.1016/J.Jocs.2011.10.005  1
2013 Escalante-B. AN, Wiskott L. How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis Journal of Machine Learning Research. 14: 3686-3719.  1
2012 Wang N, Melchior J, Wiskott L. An analysis of gaussian-binary restricted boltzmann machines for natural images Esann 2012 Proceedings, 20th European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 287-292.  1
2011 Franzius M, Wilbert N, Wiskott L. Invariant object recognition and pose estimation with slow feature analysis. Neural Computation. 23: 2289-323. PMID 21671784 DOI: 10.1162/NECO_a_00171  1
2011 Appleby PA, Kempermann G, Wiskott L. The role of additive neurogenesis and synaptic plasticity in a hippocampal memory model with grid-cell like input. Plos Computational Biology. 7: e1001063. PMID 21298080 DOI: 10.1371/journal.pcbi.1001063  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
2011 Escalante-B. AN, Wiskott L. Heuristic evaluation of expansions for non-linear hierarchical slow feature analysis Proceedings - 10th International Conference On Machine Learning and Applications, Icmla 2011. 1: 133-138. DOI: 10.1109/ICMLA.2011.72  1
2011 Minh HQ, Wiskott L. Slow feature analysis and decorrelation filtering for separating correlated sources Proceedings of the Ieee International Conference On Computer Vision. 866-873. DOI: 10.1109/ICCV.2011.6126327  1
2010 Legenstein R, Wilbert N, Wiskott L. Reinforcement learning on slow features of high-dimensional input streams. Plos Computational Biology. 6. PMID 20808883 DOI: 10.1371/journal.pcbi.1000894  1
2010 Escalante ANB, Wiskott L. Gender and age estimation from synthetic face images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6178: 240-249. DOI: 10.1007/978-3-642-14049-5_25  1
2009 Appleby PA, Wiskott L. Additive neurogenesis as a strategy for avoiding interference in a sparsely-coding dentate gyrus. Network (Bristol, England). 20: 137-61. PMID 19731146 DOI: 10.1080/09548980902993156  1
2009 Wiskott L. How Does Our Visual System Achieve Shift and Size Invariance? 23 Problems in Systems Neuroscience. DOI: 10.1093/acprof:oso/9780195148220.003.0016  1
2008 Zito T, Wilbert N, Wiskott L, Berkes P. Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework. Frontiers in Neuroinformatics. 2: 8. PMID 19169361 DOI: 10.3389/Neuro.11.008.2008  1
2008 Goodhill G, Baker C, Balasubramanian V, Bazhenov M, Beck J, Becker S, Bethge M, Boahen K, Boden M, Bonin V, Bouret S, Fairhall A, Flash T, French R, Gillies A, ... ... Wiskott L, et al. Network: Computation in Neural Systems: Editorial Network: Computation in Neural Systems. 19: 1-2. DOI: 10.1080/09548980801915409  1
2008 Franzius M, Wilbert N, Wiskott L. Invariant object recognition with slow feature analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5163: 961-970. DOI: 10.1007/978-3-540-87536-9_98  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  0.48
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  0.48
2007 Berkes P, Wiskott L. Analysis and interpretation of quadratic models of receptive fields. Nature Protocols. 2: 400-7. PMID 17406601 DOI: 10.1038/Nprot.2007.27  1
2007 Franzius M, Vollgraf R, Wiskott L. From grids to places. Journal of Computational Neuroscience. 22: 297-9. PMID 17195112 DOI: 10.1007/s10827-006-0013-7  0.48
2007 Blaschke T, Zito T, Wiskott L. Independent slow feature analysis and nonlinear blind source separation Neural Computation. 19: 994-1021. DOI: 10.1162/Neco.2007.19.4.994  1
2006 Blaschke T, Berkes P, Wiskott L. What is the relation between slow feature analysis and independent component analysis? Neural Computation. 18: 2495-508. PMID 16907634 DOI: 10.1162/Neco.2006.18.10.2495  1
2006 Berkes P, Wiskott L. On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields. Neural Computation. 18: 1868-95. PMID 16771656 DOI: 10.1162/Neco.2006.18.8.1868  1
2006 Wiskott L, Rasch MJ, Kempermann G. A functional hypothesis for adult hippocampal neurogenesis: avoidance of catastrophic interference in the dentate gyrus. Hippocampus. 16: 329-43. PMID 16435309 DOI: 10.1002/Hipo.20167  1
2005 Berkes P, Wiskott L. Slow feature analysis yields a rich repertoire of complex cell properties. Journal of Vision. 5: 579-602. PMID 16097870 DOI: 10.1167/5.6.9  1
2005 Blaschke T, Wiskott L. Nonlinear blind source separation by integrating independent component analysis and slow feature analysis Advances in Neural Information Processing Systems 1
2004 Kempermann G, Wiskott L, Gage FH. Functional significance of adult neurogenesis. Current Opinion in Neurobiology. 14: 186-91. PMID 15082323 DOI: 10.1016/j.conb.2004.03.001  1
2004 Blaschke T, Wiskott L. CuBICA: Independent component analysis by simultaneous third- and fourth-order cumulant diagonalization Ieee Transactions On Signal Processing. 52: 1250-1256. DOI: 10.1109/TSP.2004.826173  1
2003 Wiskott L, Berkes P. Is slowness a learning principle of the visual cortex? Zoology (Jena, Germany). 106: 373-82. PMID 16351921 DOI: 10.1078/0944-2006-00132  1
2003 Wiskott L. Slow feature analysis: a theoretical analysis of optimal free responses. Neural Computation. 15: 2147-77. PMID 12959670 DOI: 10.1162/089976603322297331  1
2002 Wiskott L, Sejnowski TJ. Slow feature analysis: unsupervised learning of invariances. Neural Computation. 14: 715-70. PMID 11936959 DOI: 10.1162/089976602317318938  1
2002 Blaschke T, Wiskott L. An improved cumulant based method for independent component analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 1087-1093.  1
2002 Berkes P, Wiskott L. Applying Slow Feature Analysis to image sequences yields a rich repertoire of complex cell properties Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 81-86.  1
1999 Wiskott L. Learning invariance manifolds Neurocomputing. 26: 925-932. DOI: 10.1016/S0925-2312(99)00011-9  1
1999 Wiskott L. The role of topographical constraints in face recognition Pattern Recognition Letters. 20: 89-96. DOI: 10.1016/S0167-8655(98)00122-6  1
1999 Wiskott L. Segmentation from motion: Combining Gabor- and Mallat-wavelets to overcome the aperture and correspondence problems Pattern Recognition. 32: 1751-1766. DOI: 10.1016/S0031-3203(98)00179-4  1
1998 Wiskott L, Sejnowski T. Constrained optimization for neural map formation: a unifying framework for weight growth and normalization. Neural Computation. 10: 671-716. PMID 9527838 DOI: 10.1162/089976698300017700  1
1997 Wiskott L, Fellous JM, Krüger N, Von Malsburg CD. Face recognition by elastic bunch graph matching Ieee Transactions On Pattern Analysis and Machine Intelligence. 19: 775-779. DOI: 10.1109/34.598235  1
1997 Wiskott L. Phantom faces for face analysis Pattern Recognition. 30: 837-846. DOI: 10.1016/S0031-3203(96)00132-X  1
1997 Wiskott L, Fellous JM, Krueger N, von der Malsburg C. Face recognition by elastic bunch graph matching Ieee International Conference On Image Processing. 1: 129-132.  1
1997 Wiskott L, Sejnowski T. Objective functions for neural map formation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 243-248.  1
1996 Wiskott L, von der Malsburg C. Recognizing faces by dynamic link matching. Neuroimage. 4: S14-8. PMID 9345518 DOI: 10.1006/nimg.1996.0043  1
1996 Pötzsch M, Maurer T, Wiskott L, Malsburg CVD. Reconstruction from graphs labeled with responses of Gabor filters Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1112: 845-850. DOI: 10.1007/3-540-61510-5_142  1
1990 De Maeyer L, Di Nicola A, Maetche R, von der Malsburg C, Wiskott L. An experimental multiprocessor system for distributed parallel computations Microprocessing and Microprogramming. 26: 305-317. DOI: 10.1016/0165-6074(90)90330-C  0.72
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