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| 2012 | ||
|---|---|---|
| 46 | Joachim Hass, J. Michael Herrmann: The Neural Representation of Time: An Information-Theoretic Perspective. Neural Computation 24(6): 1519-1552 (2012) | |
| 2011 | ||
| 45 | Simón C. Smith, J. Michael Herrmann: Homeokinetic Reinforcement Learning. PSL 2011: 82-91 | |
| 44 | Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann: Recurrence-Based Estimation of Time-Distortion Functions for ERP Waveform Reconstruction. Int. J. Neural Syst. 21(1): 65-78 (2011) | |
| 43 | Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann: Compositionality of arm movements can be realized by propagating synchrony. Journal of Computational Neuroscience 30(3): 675-697 (2011) | |
| 2010 | ||
| 42 | Frank Hesse, J. Michael Herrmann: Homeokinetic proportional control of myoelectric prostheses. IROS 2010: 1786-1791 | |
| 41 | Georg Martius, J. Michael Herrmann: Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots. SAB 2010: 50-61 | |
| 2009 | ||
| 40 | Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann: Recurrence-Based Synchronization of Single Trials for EEG-Data Analysis. IDEAL 2009: 118-125 | |
| 39 | Frank Hesse, Ralf Der, J. Michael Herrmann: Modulated Exploratory Dynamics Can Shape Self-Organized Behavior. Advances in Complex Systems 12(3): 273-291 (2009) | |
| 38 | Frank Hesse, Georg Martius, Ralf Der, J. Michael Herrmann: A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior. Algorithms 2(1): 398-409 (2009) | |
| 37 | Konstantin Doubrovinski, J. Michael Herrmann: Stability of Localized Patterns in Neural Fields. Neural Computation 21(4): 1125-1144 (2009) | |
| 2008 | ||
| 36 | Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann: Compensation for Speed-of-Processing Effects in EEG-Data Analysis. IDEAL 2008: 354-361 | |
| 35 | Marotesa Voultsidou, J. Michael Herrmann: Statistical Baselines from Random Matrix Theory. IDEAL 2008: 362-369 | |
| 34 | Georg Martius, Katja Fiedler, J. Michael Herrmann: Structure from behavior in autonomous agents. IROS 2008: 858-862 | |
| 33 | Georg Martius, Stefano Nolfi, J. Michael Herrmann: Emergence of Interaction among Adaptive Agents. SAB 2008: 457-466 | |
| 32 | Norbert 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) | |
| 31 | Joachim 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 | ||
| 30 | Georg Martius, J. Michael Herrmann, Ralf Der: Guided Self-organisation for Autonomous Robot Development. ECAL 2007: 766-775 | |
| 29 | J. Michael Herrmann, Fabian J. Theis: Statistical Analysis of Sample-Size Effects in ICA. IDEAL 2007: 416-425 | |
| 28 | Hecke 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) | |
| 27 | Hecke Schrobsdorff, J. Michael Herrmann, Theo Geisel: A feature-binding model with localized excitations. Neurocomputing 70(10-12): 1706-1710 (2007) | |
| 26 | Anna Levina, Udo Ernst, J. Michael Herrmann: Criticality of avalanche dynamics in adaptive recurrent networks. Neurocomputing 70(10-12): 1877-1881 (2007) | |
| 2006 | ||
| 25 | Joachim Haß, J. Michael Herrmann, Theo Geisel: Optimal Mass Distribution for Passivity-Based Bipedal Robots. I. J. Robotic Res. 25(11): 1087-1098 (2006) | |
| 2005 | ||
| 24 | Anna Levina, J. Michael Herrmann, Theo Geisel: Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches. NIPS 2005 | |
| 23 | Marotesa 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) | |
| 22 | J. Michael Herrmann, Hecke Schrobsdorff, Theo Geisel: Localized activations in a simple neural field model. Neurocomputing 65-66: 679-684 (2005) | |
| 2004 | ||
| 21 | Marotesa Voultsidou, Silke Dodel, J. Michael Herrmann: Analysis of Correlated Activity in fMRI Data by Artificial Neural Networks. ISBI 2004: 872-875 | |
| 2003 | ||
| 20 | Norbert 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 | ||
| 19 | Silke Dodel, J. Michael Herrmann, Theo Geisel: Functional connectivity by cross-correlation clustering. Neurocomputing 44-46: 1065-1070 (2002) | |
| 18 | Dmitri Bibitchkov, J. Michael Herrmann, Theo Geisel: Effects of short-time plasticity on the associative memory. Neurocomputing 44-46: 329-335 (2002) | |
| 17 | Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel: Curved feature metrics in models of visual cortex. Neurocomputing 44-46: 533-539 (2002) | |
| 2001 | ||
| 16 | Silke Dodel, J. Michael Herrmann, Theo Geisel: Stimulus-Independent Data Analysis for fMRI. Emergent Neural Computational Architectures Based on Neuroscience 2001: 39-53 | |
| 15 | Norbert 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 | ||
| 14 | Dmitri Bibitchkov, J. Michael Herrmann, Theo Geisel: Synaptic Depression in Associative Memory Networks. IJCNN (5) 2000: 50-58 | |
| 13 | Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel: Structure Formation in Visual Cortex Based on a Curved Feature Space. IJCNN (6) 2000: 153-158 | |
| 12 | Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel: Retinotopy and spatial phase in topographic maps. Neurocomputing 32-33: 447-452 (2000) | |
| 11 | Silke Dodel, J. Michael Herrmann, Theo Geisel: Localization of brain activity - blind separation for fMRI data. Neurocomputing 32-33: 701-708 (2000) | |
| 10 | J. Michael Herrmann, Klaus Pawelzik, Theo Geisel: Learning predictive representations. Neurocomputing 32-33: 785-791 (2000) | |
| 1999 | ||
| 9 | J. Michael Herrmann, Klaus Pawelzik, Theo Geisel: Self-Localization of Autonomous Robots by Hidden Representations. Auton. Robots 7(1): 31-40 (1999) | |
| 8 | Hans-Ulrich Bauer, J. Michael Herrmann, Thomas Villmann: Neural maps and topographic vector quantization. Neural Networks 12(4-5): 659-676 (1999) | |
| 7 | J. 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 | ||
| 6 | Thomas Villmann, J. Michael Herrmann: Magnification control in neural maps. ESANN 1998: 191-196 | |
| 1997 | ||
| 5 | J. Michael Herrmann, Hans-Ulrich Bauer, Thomas Villmann: Measuring topology preservation in maps of real-world data. ESANN 1997 | |
| 4 | J. Michael Herrmann, Thomas Villmann: Vector Quantization by Optimal Neural Gas. ICANN 1997: 625-630 | |
| 1996 | ||
| 3 | Ralf Der, Gerd Balzuweit, J. Michael Herrmann: Building Nonlinear Data Models with Self-Organizing Maps. ICANN 1996: 821-826 | |
| 1994 | ||
| 2 | Ralf Der, J. Michael Herrmann: Instabilities in self-organized feature maps with short neighbourhood range. ESANN 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 | |
Colors in the list of coauthors
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