2008 |
34 | EE | Matthias Ihrke,
Hecke Schrobsdorff,
J. Michael Herrmann:
Compensation for Speed-of-Processing Effects in EEG-Data Analysis.
IDEAL 2008: 354-361 |
33 | EE | Marotesa Voultsidou,
J. Michael Herrmann:
Statistical Baselines from Random Matrix Theory.
IDEAL 2008: 362-369 |
32 | EE | Georg Martius,
Katja Fiedler,
J. Michael Herrmann:
Structure from behavior in autonomous agents.
IROS 2008: 858-862 |
31 | EE | Georg Martius,
Stefano Nolfi,
J. Michael Herrmann:
Emergence of Interaction among Adaptive Agents.
SAB 2008: 457-466 |
30 | EE | 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) |
29 | EE | 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 |
28 | EE | Georg Martius,
J. Michael Herrmann,
Ralf Der:
Guided Self-organisation for Autonomous Robot Development.
ECAL 2007: 766-775 |
27 | EE | J. Michael Herrmann,
Fabian J. Theis:
Statistical Analysis of Sample-Size Effects in ICA.
IDEAL 2007: 416-425 |
26 | EE | 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) |
25 | EE | Hecke Schrobsdorff,
J. Michael Herrmann,
Theo Geisel:
A feature-binding model with localized excitations.
Neurocomputing 70(10-12): 1706-1710 (2007) |
24 | EE | Anna Levina,
Udo Ernst,
J. Michael Herrmann:
Criticality of avalanche dynamics in adaptive recurrent networks.
Neurocomputing 70(10-12): 1877-1881 (2007) |
2005 |
23 | EE | Anna Levina,
J. Michael Herrmann,
Theo Geisel:
Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches.
NIPS 2005 |
22 | EE | 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) |
21 | EE | J. 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 |
19 | EE | 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 |
18 | EE | Silke Dodel,
J. Michael Herrmann,
Theo Geisel:
Functional connectivity by cross-correlation clustering.
Neurocomputing 44-46: 1065-1070 (2002) |
17 | EE | Dmitri Bibitchkov,
J. Michael Herrmann,
Theo Geisel:
Effects of short-time plasticity on the associative memory.
Neurocomputing 44-46: 329-335 (2002) |
16 | EE | Norbert Michael Mayer,
J. Michael Herrmann,
Theo Geisel:
Curved feature metrics in models of visual cortex.
Neurocomputing 44-46: 533-539 (2002) |
2001 |
15 | EE | Silke Dodel,
J. Michael Herrmann,
Theo Geisel:
Stimulus-Independent Data Analysis for fMRI.
Emergent Neural Computational Architectures Based on Neuroscience 2001: 39-53 |
14 | EE | 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 |
13 | EE | Dmitri Bibitchkov,
J. Michael Herrmann,
Theo Geisel:
Synaptic Depression in Associative Memory Networks.
IJCNN (5) 2000: 50-58 |
12 | EE | Norbert Michael Mayer,
J. Michael Herrmann,
Theo Geisel:
Structure Formation in Visual Cortex Based on a Curved Feature Space.
IJCNN (6) 2000: 153-158 |
11 | EE | Norbert Michael Mayer,
J. Michael Herrmann,
Theo Geisel:
Retinotopy and spatial phase in topographic maps.
Neurocomputing 32-33: 447-452 (2000) |
10 | EE | Silke Dodel,
J. Michael Herrmann,
Theo Geisel:
Localization of brain activity - blind separation for fMRI data.
Neurocomputing 32-33: 701-708 (2000) |
9 | EE | J. 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) |
7 | EE | Hans-Ulrich Bauer,
J. Michael Herrmann,
Thomas Villmann:
Neural maps and topographic vector quantization.
Neural Networks 12(4-5): 659-676 (1999) |
6 | EE | 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 |
5 | EE | Thomas 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 |