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J. Michael Herrmann

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2008
34EEMatthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann: Compensation for Speed-of-Processing Effects in EEG-Data Analysis. IDEAL 2008: 354-361
33EEMarotesa Voultsidou, J. Michael Herrmann: Statistical Baselines from Random Matrix Theory. IDEAL 2008: 362-369
32EEGeorg Martius, Katja Fiedler, J. Michael Herrmann: Structure from behavior in autonomous agents. IROS 2008: 858-862
31EEGeorg Martius, Stefano Nolfi, J. Michael Herrmann: Emergence of Interaction among Adaptive Agents. SAB 2008: 457-466
30EENorbert Michael Mayer, Matthew Browne, J. Michael Herrmann, Minoru Asada: Symmetries, non-Euclidean metrics, and patterns in a Swift-Hohenberg model of the visual cortex. Biological Cybernetics 99(1): 63-78 (2008)
29EEJoachim Haß, Stefan Blaschke, Thomas Rammsayer, J. Michael Herrmann: A neurocomputational model for optimal temporal processing. Journal of Computational Neuroscience 25(3): 449-464 (2008)
2007
28EEGeorg Martius, J. Michael Herrmann, Ralf Der: Guided Self-organisation for Autonomous Robot Development. ECAL 2007: 766-775
27EEJ. Michael Herrmann, Fabian J. Theis: Statistical Analysis of Sample-Size Effects in ICA. IDEAL 2007: 416-425
26EEHecke Schrobsdorff, Matthias Ihrke, B. Kabisch, J. Behrendt, M. Hasselhorn, J. Michael Herrmann: A computational approach to negative priming. Connect. Sci. 19(3): 203-221 (2007)
25EEHecke Schrobsdorff, J. Michael Herrmann, Theo Geisel: A feature-binding model with localized excitations. Neurocomputing 70(10-12): 1706-1710 (2007)
24EEAnna Levina, Udo Ernst, J. Michael Herrmann: Criticality of avalanche dynamics in adaptive recurrent networks. Neurocomputing 70(10-12): 1877-1881 (2007)
2005
23EEAnna Levina, J. Michael Herrmann, Theo Geisel: Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches. NIPS 2005
22EEMarotesa Voultsidou, Silke Dodel, J. Michael Herrmann: Neural Networks Approach to Clustering of Activity in fMRI Data. IEEE Trans. Med. Imaging 24(8): 987-996 (2005)
21EEJ. Michael Herrmann, Hecke Schrobsdorff, Theo Geisel: Localized activations in a simple neural field model. Neurocomputing 65-66: 679-684 (2005)
2004
20 Marotesa Voultsidou, Silke Dodel, J. Michael Herrmann: Analysis of Correlated Activity in fMRI Data by Artificial Neural Networks. ISBI 2004: 872-875
2003
19EENorbert Michael Mayer, J. Michael Herrmann, Theo Geisel: Shaping of Receptive Fields in the Visual Cortex During Retinal Maturation. Journal of Computational Neuroscience 15(3): 307-320 (2003)
2002
18EESilke Dodel, J. Michael Herrmann, Theo Geisel: Functional connectivity by cross-correlation clustering. Neurocomputing 44-46: 1065-1070 (2002)
17EEDmitri Bibitchkov, J. Michael Herrmann, Theo Geisel: Effects of short-time plasticity on the associative memory. Neurocomputing 44-46: 329-335 (2002)
16EENorbert Michael Mayer, J. Michael Herrmann, Theo Geisel: Curved feature metrics in models of visual cortex. Neurocomputing 44-46: 533-539 (2002)
2001
15EESilke Dodel, J. Michael Herrmann, Theo Geisel: Stimulus-Independent Data Analysis for fMRI. Emergent Neural Computational Architectures Based on Neuroscience 2001: 39-53
14EENorbert Michael Mayer, J. Michael Herrmann, Theo Geisel: Signatures of natural image statistics in cortical simple cell receptive fields. Neurocomputing 38-40: 279-284 (2001)
2000
13EEDmitri Bibitchkov, J. Michael Herrmann, Theo Geisel: Synaptic Depression in Associative Memory Networks. IJCNN (5) 2000: 50-58
12EENorbert Michael Mayer, J. Michael Herrmann, Theo Geisel: Structure Formation in Visual Cortex Based on a Curved Feature Space. IJCNN (6) 2000: 153-158
11EENorbert Michael Mayer, J. Michael Herrmann, Theo Geisel: Retinotopy and spatial phase in topographic maps. Neurocomputing 32-33: 447-452 (2000)
10EESilke Dodel, J. Michael Herrmann, Theo Geisel: Localization of brain activity - blind separation for fMRI data. Neurocomputing 32-33: 701-708 (2000)
9EEJ. Michael Herrmann, Klaus Pawelzik, Theo Geisel: Learning predictive representations. Neurocomputing 32-33: 785-791 (2000)
1999
8 J. Michael Herrmann, Klaus Pawelzik, Theo Geisel: Self-Localization of Autonomous Robots by Hidden Representations. Auton. Robots 7(1): 31-40 (1999)
7EEHans-Ulrich Bauer, J. Michael Herrmann, Thomas Villmann: Neural maps and topographic vector quantization. Neural Networks 12(4-5): 659-676 (1999)
6EEJ. Michael Herrmann, Klaus Pawelzik: Simultaneous self-organization of place and direction selectivity in a neural model of self-localization. Neurocomputing 26-27: 721-727 (1999)
1998
5EEThomas Villmann, J. Michael Herrmann: Magnification control in neural maps. ESANN 1998: 191-196
1997
4 J. Michael Herrmann, Hans-Ulrich Bauer, Thomas Villmann: Measuring topology preservation in maps of real-world data. ESANN 1997
3 J. Michael Herrmann, Thomas Villmann: Vector Quantization by Optimal Neural Gas. ICANN 1997: 625-630
1996
2 Ralf Der, Gerd Balzuweit, J. Michael Herrmann: Building Nonlinear Data Models with Self-Organizing Maps. ICANN 1996: 821-826
1994
1 Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz: Topology Preservation in Self-Organizing Feature Maps: General Definition and Efficient Measurement. Fuzzy Days 1994: 159-166

Coauthor Index

1Minoru Asada [30]
2Gerd Balzuweit [2]
3Hans-Ulrich Bauer [4] [7]
4J. Behrendt [26]
5Dmitri Bibitchkov [13] [17]
6Stefan Blaschke [29]
7Matthew Browne [30]
8Ralf Der [1] [2] [28]
9Silke Dodel [10] [15] [18] [20] [22]
10Udo Ernst (Udo A. Ernst) [24]
11Katja Fiedler [32]
12Theo Geisel [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [21] [23] [25]
13Joachim Haß [29]
14M. Hasselhorn [26]
15Matthias Ihrke [26] [34]
16B. Kabisch [26]
17Anna Levina [23] [24]
18Thomas Martinetz [1]
19Georg Martius [28] [31] [32]
20Norbert Michael Mayer [11] [12] [14] [16] [19] [30]
21Stefano Nolfi [31]
22Klaus Pawelzik (Klaus R. Pawelzik) [6] [8] [9]
23Thomas Rammsayer [29]
24Hecke Schrobsdorff [21] [25] [26] [34]
25Fabian J. Theis [27]
26Thomas Villmann [1] [3] [4] [5] [7]
27Marotesa Voultsidou [20] [22] [33]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)