| Information-theoretic sensitivity analysis: a general method for credit assignment in complex networks N Lüdtke, S Panzeri, M Brown, DS Broomhead, J Knowles, ... Journal of The Royal Society Interface 5 (19), 223-235, 2008 | 124 | 2008 |
| A global sensitivity index for biophysically detailed cardiac cell models: a computational approach S Kharche, N Lüdtke, S Panzeri, H Zhang International Conference on Functional Imaging and Modeling of the Heart …, 2009 | 21 | 2009 |
| Short-term synaptic plasticity can enhance weak signal detectability in nonrenewal spike trains N Lüdtke, ME Nelson Neural computation 18 (12), 2879-2916, 2006 | 21 | 2006 |
| Testing methodologies for the nonlinear analysis of causal relationships in neurovascular coupling N Lüdtke, NK Logothetis, S Panzeri Magnetic resonance imaging 28 (8), 1113-1119, 2010 | 19 | 2010 |
| Corner detection using a mixture model of edge orientation N Ludtke, B Luo, E Hancock, RC Wilson 2002 International Conference on Pattern Recognition 2, 574-577, 2002 | 12 | 2002 |
| Tangent fields from population coding N Lüdtke, RC Wilson, ER Hancock Biologically Motivated Computer Vision: First IEEE International Workshop …, 2000 | 12 | 2000 |
| Probabilistic population coding of multiple edge orientation N Ludtke, RC Wilson, ER Hancock Proceedings. International Conference on Image Processing 2, II-II, 2002 | 7 | 2002 |
| Population codes for orientation estimation N Ludtke, RC Wilson, ER Hancock Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 5 | 2000 |
| Contour segments from spline interpolation N Ludtke, RC Wilson Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2004 | 4 | 2004 |
| A mixture model for population codes of Gabor filters N Ludtke, RC Wilson IEEE Transactions on neural networks 14 (4), 794-803, 2003 | 3 | 2003 |
| Decoding population codes RC Wilson, N Ludtke Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 2 | 2000 |
| ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors. N Krüger, N Lüdtke BMVC, 1-10, 1998 | 2 | 1998 |
| A generative model of natural texture surrogates N Ludtke, D Das, L Theis, M Bethge arXiv preprint arXiv:1505.07672, 2015 | 1 | 2015 |
| Population Coding and the Detection of Visual Stimuli with Multiple Orientations N Ludtke, RC Wilson, ER Hancock Science Direct Working Paper No S1574-034X (04), 70324-5, 2002 | 1 | 2002 |
| Population coding of multiple edge orientation N Lüdtke, RC Wilson, ER Hancock Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002 | 1 | 2002 |
| Gabor population codes for orientation selection N LÜDTKE, E HANCOCK Vision: The Approach of Biophysics and Neurosciences, 437-440, 2001 | 1 | 2001 |
| A Population Coding Approach to Edge Detection and Perceptual Grouping N Lüdtke University of York, 2002 | | 2002 |
