Publikationen von Michael Herrmann

Lyzwa, D.; Herrmann, M.; Wörgötter, F.: Natural vocalizations in the mammalian inferior colliculus are broadly encoded by a small number of independent multi-unit clusters. Frontiers in Neural Circuits 9, 91 (2016)

Levina, A.; Herrmann, J. M.: The Abelian distribution. Stochastics and Dynamics 14 (3), 1450001 (2013)

Abeles, M.; Diesmann, M.; Flash, T.; Geisel, T.; Herrmann, J. M.; Teicher, M.: Compositionality in Neural Control: An Interdisciplinary Study of Scribbling Movements in Primates. Frontiers in Computational Neuroscience 7, 103 (2013)

Uhlig, M.; Levina, A.; Geisel, T.; Herrmann, J. M.: Critical dynamics in associative memory networks. Frontiers in Computational Neuroscience 7, 87 (2013)

Schrobsdorff, H.; Ihrke, M.; Behrendt, J.; Hasselhorn, M.; Herrmann, J. M.: Inhibition in the Dynamics of Selective Attention: An Integrative Model for Negative Priming. Frontiers in Psychology 3, 491 (2012)

Schrobsdorff, H.; Ihrke, M.; Behrendt, J.; Herrmann, J. M.; Hasselhorn, M.: Identity Negative Priming: A Phenomenon of Perception, Recognition or Selection? PLoS ONE 7, e32946 (2012)

Ihrke, M.; Behrendt, J.; Schrobsdorff, H.; Herrmann, J.; Hasselhorn, M.: Response-Retrieval and Negative Priming: Encoding- and Retrieval-Specific Effects. Experimental Psychology 58, S. 154 - 161 (2011)

Ihrke, M.; Schrobsdorff, H.; Herrmann, J.: Recurrence-Based Estimation of Time-Distortion Functions for ERP Waveform Reconstruction. International Journal of Neural Systems 21, S. 65 - 78 (2011)

Levina, A.; Herrmann, J. M.; Geisel, T.: Phase transitions towards criticality in a neural system with adaptive interactions. Physical Review Letters 102, 118110 (2009)

Hesse, F.; Martius, G.; Der, R.; Herrmann, M.: A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior. Algorithms 2(1), S. 398 - 409 (2009)

Hass, J.; Blaschke, S.; Rammsayer, T.; Herrmann, M.: A neurocomputational model for optimal temporal processing. Journal of Computational Neuroscience 25(3), S. 449 - 464 (2008)

Levina, A.; Herrmann, M.; Geisel, T.: Dynamical synapses causing self-organized criticality in neural networks. Nature Physics 3, S. 857 - 860 (2007)

Schrobsdorff, H.; Ihrke, M.; Kabisch, B.; Behrendt, J.; Hasselhorn, M.; Herrmann, M.: A Computational Approach to Negative Priming. Connection Science 19(3), S. 203 - 221 (2007)

Levina, A.; Ernst, U.; Herrmann, M.: Criticality of avalanche dynamics in adaptive recurrent networks. Neurocomputing 70, 1877 (2007)

Schrobsdorff, H.; Herrmann, M.; Geisel, T.: A feature-binding model with localized excitations. Neurocomputing 70(10-20), S. 1706 - 1710 (2007)

Hass, J.; Herrmann, M.; Blaschke, S.; Rammsayer, T.: A neurocomputational model of temporal processing. BMC Neuroscience 8(S2), S. 25 - 26 (2007)

Mayer, N.; Herrmann, M.; Asada, M.; Geisel, T.: Pinwheel stability in a non-euclidean model of pattern formation in visual cortex. Journal of the Korean Physical Society 50, S. 150 - 157 (2007)

Voultsidou, M.; Dodel, S.; Herrmann, M.: Feature extraction in fmri data using random matrix theory. Computing and Visualization in Science 10(2), S. 100 - 110 (2006)

Hass, J.; Herrmann, J.M.; Geisel, T.: Optimal mass distribution for passivity-based bipedal robots. The International Journal of Robotics Research 25, S. 1087 - 1098 (2006)

Levina, A.; Herrmann, M.; Geisel, T.: Dynamical synapses give rise to a power-law distribution of neuronal avalanches. Advances in Neural Information Processing Systems 18, S. 771 - 771 (2006)