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Niklas Lüdtke
Niklas Lüdtke
Data Scientist, Tachycon GmbH
Verified email at tachycon.de
Title
Cited by
Cited by
Year
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
1232008
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
212009
Short-term synaptic plasticity can enhance weak signal detectability in nonrenewal spike trains
N Lüdtke, ME Nelson
Neural computation 18 (12), 2879-2916, 2006
212006
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
192010
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
122002
Tangent fields from population coding
N Lüdtke, RC Wilson, ER Hancock
Biologically Motivated Computer Vision: First IEEE International Workshop …, 2000
122000
Probabilistic population coding of multiple edge orientation
N Ludtke, RC Wilson, ER Hancock
Proceedings. International Conference on Image Processing 2, II-II, 2002
72002
Population codes for orientation estimation
N Ludtke, RC Wilson, ER Hancock
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
52000
Contour segments from spline interpolation
N Ludtke, RC Wilson
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2004
42004
A mixture model for population codes of Gabor filters
N Ludtke, RC Wilson
IEEE Transactions on neural networks 14 (4), 794-803, 2003
32003
Decoding population codes
RC Wilson, N Ludtke
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
22000
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors.
N Krüger, N Lüdtke
BMVC, 1-10, 1998
21998
A generative model of natural texture surrogates
N Ludtke, D Das, L Theis, M Bethge
arXiv preprint arXiv:1505.07672, 2015
12015
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
12002
Population coding of multiple edge orientation
N Lüdtke, RC Wilson, ER Hancock
Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002
12002
Gabor population codes for orientation selection
N LÜDTKE, E HANCOCK
Vision: The Approach of Biophysics and Neurosciences, 437-440, 2001
12001
A Population Coding Approach to Edge Detection and Perceptual Grouping
N Lüdtke
University of York, 2002
2002
Department of Computer Science, University of York, York Y01 5DD, UK
N LÜDTKE, E HANCOCK
Vision: The Approach of Biophysics and Neurosciences: Proceedings of the …, 2001
2001
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