H. Schrobsdorff (Degering), M. Mittner, J. Behrendt, J.M. Herrmann, and M. Hasselhorn (2012 (in press)). Identity Negative Priming: A Phenomenon of Perception, Recognition or Selection? PLoS ONE.
M. Ihrke, H. Schrobsdorff (Degering), and J.M. Herrmann (2011). Recurrence-Based Estimation of Time-Distortion Functions for ERP Waveform Reconstruction International Journal of Neural Systems 21(1):65--78. download file
M. Ihrke, J. Behrendt, H. Schrobsdorff (Degering), J.M. Herrmann, and M. Hasselhorn (2011). Response-Retrieval and Negative Priming: Encoding- and Retrieval-Specific Effects Experimental Psychology 58(2):154--161. download file
F. Hesse, and J.M. Herrmann (2010). Homeokinetic Proportional Control of Myoelectric Prostheses In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan. IEEE, pages 1786-1791.
F. Hesse, and J.M. Herrmann (2010). Homeokinetic Prosthetic Control : Collaborative Selection of Myosignal Features In: 19th IEEE International Symposium on Robot and Human Interactive Communication, Principe di Piemonte - Viareggio, Italy. IEEE, pages 437-442.
G. Martius, and J.M. Herrmann (2010). Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots In: From Animals to Animats 11, edited by Doncieux, Stéphane and Girard, Benoît and Guillot, Agnès and Hallam, John and Meyer, Jean-Arcady and Mouret, Jean-Baptiste. Springer, pages 50-61. download file download file
J. Behrendt, H. Gibbons, H. Schrobsdorff (Degering), M. Ihrke, J.M. Herrmann, and M. Hasselhorn (2010). Event-related brain potential correlates of identity negative priming from overlapping pictures Psychophysiology 47(5):921--930. download file
A. Levina, J.M. Herrmann, and T. Geisel (2009). Phase transitions towards criticality in a neural system with adaptive interactions Phys. Rev. Lett. 102(11):118110. download file
F. Hesse, G. Martius, R. Der, and J.M. Herrmann (2009). A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior Algorithms 2(1):398-409. download file
F. Hesse, R. Der, and J.M. Herrmann (2009). Modulated Exploratory Dynamics can shape Self-Organized Behavior Advances in Complex Systems (ACS) 12(3):273 - 291. download file download file
J. Haß, S. Blaschke, T. Rammsayer, and J.M. Herrmann (2009). Detection of irregularities in auditory sequences: A neural-network approach to temporal processing In: Proceedings of the 11th Neural Computation and Psychology Workshop: Connectionist Models of Behaviour and Cognition, edited by J Mayor, N Ruh and K Plunkett. World Scientific. download file
M. Mittner, H. Schrobsdorff (Degering), and J.M. Herrmann (2009). Denoising and Averaging Techniques for Electrophysiological Data. In: Coordinated Activity in the Brain Measurements and Relevance to Brain Function and Behavior, edited by Velazquez, Jose Luis Perez; Wennberg, Richard. Springer, chapter 9, pages 165-190. download file download file
G. Martius, K. Fiedler, and J.M. Herrmann (2008). Structure from Behavior in Autonomous Agents In: IEEE International Conference on Intelligent Robots and Systems (IROS). IEEE Press, pages 858--862. download file
G. Martius, S. Nolfi, and J.M. Herrmann (2008). Emergence of Interaction Among Adaptive Agents In: From Animals to Animats 10, 10th International Conference on Simulation of Adaptive Behavior, SAB, Japan, Proceedings. Springer, pages 457-466. download file download file
J. Haß, S. Blaschke, T. Rammsayer, and J.M. Herrmann (2008). A neurocomputational model for optimal temporal processing J Comput Neurosci 25(3):449--464. download file
M. Ihrke, H. Schrobsdorff (Degering), and J.M. Herrmann (2008). Compensation for Speed-of-Processing Effects in EEG-Data Analysis In: Intelligent Data Engineering and Automated Learning – IDEAL 2008. Springer Verlag, pages 354-361. download file
A. Levina, J.M. Herrmann, and T. Geisel (2007). Dynamical synapses causing self-organized criticality in neural networks Nature Physics 3:857-860. download file
A. Levina, U. Ernst, and J.M. Herrmann (2007). Criticality of avalanche dynamics in adaptive recurrent networks Neurocomputing 70:1877–1881.
F. Theis, and M. Herrmann (2007). Statistical analysis of sample-size effects in ICA In: Intelligent Data Engineering and Automated Learning, edited by Yin, H. and Tino, P. and Corchado, E. and Byrne, W. and Yao, X.. Springer.
G. Martius, M. Herrmann, and R. Der (2007). Guided Self-organisation for Autonomous Robot Development In: Advances in Artificial Life 9th European Conference, ECAL 2007, Lisbon, Portugal, edited by Almeida e Costa and Francesco. Springer, pages 766-775. download file
H. Schrobsdorff (Degering), J.M. Herrmann, and T. Geisel (2007). A feature-binding model with localized excitations Neurocomputing 70(10-20):1706–1710. download file
H. Schrobsdorff (Degering), M. Ihrke, B. Kabisch, J. Behrendt, M. Hasselhorn, and J.M. Herrmann (2007). A Computational Approach to Negative Priming Connection Science 19(3):203–221. download file
J. Haß, J.M. Herrmann, S. Blaschke, and T. Rammsayer (2007). A neurocomputational model of temporal processing: Evidence from sequence experiments BMC Neuroscience 8(S2):25-26.
J. Haß, J.M. Herrmann, S. Blaschke, and T. Rammsayer (2007). Timing Errors in a Dynamical Model of Temporal Processing In: Neuroforum, Supplement T37-3B. German Neuroscience Society.
J. Haß, J.M. Herrmann, S. Blaschke, and T. Rammsayer (2007). Timing Errors in a Dynamical Model of Temporal Processing In: Kognitionsforschung 2007: Beiträge zur 8. Jahrestagung der Gesellschaft für Kognitionswissenschaft. Shaker, pages 67.
M. Voultsidou, S. Dodel, and M. Herrmann (2007). Feature extraction in fMRI data using random matrix theory Comput. and Visualiz. in Science 10(2):100-110.
N.M. Mayer, M. Herrmann, M. Asada, and T. Geisel (2007). Pinwheel stability in a non-Euclidean model of pattern formation in visual cortex J. Korean Phys. Soc. 50(S01):150-157.
A. Levina, J.M. Herrmann, and T. Geisel (2006). Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches In: Advances in Neural Information Processing Systems 18, edited by Y. Weiss and B. Schölkopf and J. Platt. MIT Press, Cambridge, MA, pages 771–778. download file
J. Haß, J.M. Herrmann, and T. Geisel (2005). Biomechanics and Low-Level Control of Bipedal Locomotion In: Neuroforum, Supplement 75B. German Neuroscience Society.
J.M. Herrmann, H. Schrobsdorff (Degering), and T. Geisel (2005). Localized activations in a simple neural field model Neurocomputing 65:679–684. download file
J. Haß, J.M. Herrmann, and T. Geisel (2004). Evolutionary design of an adaptive dynamic walker In: Proceedings of 7th International Conference CLAWAR. Springer, pages 765–774.
C.W. Eurich, J.M. Herrmann, and U. Ernst (2002). Finite-size effects of avalanche dynamics PRE 66:006137. download file
S. Dodel, M. Herrmann, and T. Geisel (2001). Is brain activity spatially or temporally correlated? NeuroImage 13(6):110.
H.-. Bauer, M. Herrmann, and T. Villmann (1999). Neural Maps and topographic Vector Quantization Neural Networks 12:659–676.
M. Herrmann, K. Pawelzik, and T. Geisel (1998). Self-Localization by Hidden Representations In: Proceedings for the 8th International Conference on Artificial Neural Networks, ICANN 98, edited by L. Niklasson and M. Boden and T. Ziemke. Springer, pages 1103.
M. Herrmann, K. Pawelzik, and T. Geisel (1998). Self-localization of a robot by simultaneous self-organization of place and direction selectivity In: Proceedings Second International Conference on Cognitive and Neural Systems, Boston 1998, pages 79.
N. Mayer, H.-. Bauer, M. Herrmann, and T. Geisel (1998). Orientation Maps From Natural Images In: Proceedings of the 26th Göttingen Neurobiology Conference, edited by N. Elsner and R. Wehner. Thieme, Stuttgart, pages 759.
N. Mayer, M. Herrmann, H.-. Bauer, and T. Geisel (1998). A Cortical Interpretation of ASSOMs In: Proceedings of the 8th International Conference on Artificial Neural Networks, ICANN 98, edited by L. Niklasson and M. Boden and T. Ziemke. Springer, pages 961–966.
T. Villmann, and M. Herrmann (1998). Magnification Control in Neural Maps In: European Symposium on Artificial Neural Networks, ESANN 98. D facto, Brussels, pages 191.
M. Herrmann, H.-. Bauer, and T. Villmann (1997). Topology preservation in neural maps In: ESANN 97, pages 205–210.
H.-. Bauer, R. Der, and M. Herrmann (1996). Controlling the magnification factor of self-organizing feature maps Neural Comp. 8:757.
M. Herrmann, H.-. Bauer, and R. Der (1995). Optimal magnification factor in self-organizing feature maps In: ICANN95: Proceedings of the International Conference on Artificial Neural Networks. EC2 & Cie, Paris, pages 75–80.
M. Herrmann, H.-. Bauer, and R. Der (1994). The ``perceptual magnet'' effect: a model based on self-organizing feature maps In: Proc. 3rd. Neural Computation and Psychology Workshop, edited by L.S. Smith and P.J.B. Hancock. Springer Verlag, pages 107.
