J. Michael Herrmann

87 papers A 3B 5C 6Misc 1Journal 49Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Robotic Mind Model for Affective Decision Making and Behaviour Generation. Int. J. Soc. Robotics Jinwei Zhang, J. Michael Herrmann
2026	J	`jnl`	Discrete Gene Crossover Accelerates Solution Discovery in Quality-Diversity Algorithms. CoRR Joshua Hutchinson, J. Michael Herrmann, Simón C. Smith
2026	J	`jnl`	The Prevalence and Potential Problem of Cuteness in Zoomorphic Robots. ACM Trans. Hum. Robot Interact. Isobel Voysey, Lynne Baillie, Joanne Williams, J. Michael Herrmann
2025	J	`jnl`	Co-Designing Educational Robotic Pet Concepts with Animal Welfare Educators and Children. Int. J. Soc. Robotics Isobel Voysey, Lynne Baillie, Joanne Williams, J. Michael Herrmann
2025	J	`jnl`	Co-designing Zoomorphic Robot Concepts for Animal Welfare Education. CoRR Isobel Voysey, Lynne Baillie, Joanne Williams, J. Michael Herrmann
2025	J	`jnl`	Interpretability by Design for Efficient Multi-Objective Reinforcement Learning. CoRR Qiyue Xia, J. Michael Herrmann
2025	Misc	`conf`	Pawsitive Patch: Using a Robotic Dog in Children's Animal Welfare Education. IDC Isobel Voysey, Lynne Baillie, Joanne Williams, J. Michael Herrmann
2024	J	`jnl`	Beyond jamming grippers: granular material in robotics. Adv. Robotics Han Li, Jin Sun, J. Michael Herrmann
2023	—	`conf`	Stability, Entropy and Performance in PSO. GECCO Companion Yurdusev Yakup Akan, J. Michael Herrmann
2022	B	`conf`	Influence of Animallike Affective Non-verbal Behavior on Children's Perceptions of a Zoomorphic Robot. RO-MAN Isobel Voysey, Lynne Baillie, Joanne Williams, J. Michael Herrmann
2021	A	`conf`	The paradox of choice in evolving swarms: information overload leads to limited sensing. GECCO Calum C. Imrie, J. Michael Herrmann, Olaf Witkowski
2020	J	`jnl`	Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator. CoRR Roy Eliya, J. Michael Herrmann
2020	C	`conf`	Reflexive Reinforcement Learning: Methods for Self-Referential Autonomous Learning. IJCCI B. I. Lyons, J. Michael Herrmann
2020	J	`jnl`	The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control. Frontiers Neurorobotics Simón C. Smith, Richard Dharmadi, Calum Imrie, Bailu Si, J. Michael Herrmann
2019	J	`jnl`	Evaluation of Internal Models in Autonomous Learning. IEEE Trans. Cogn. Dev. Syst. Simón C. Smith, J. Michael Herrmann
2019	J	`jnl`	Lagged correlation-based deep learning for directional trend change prediction in financial time series. Expert Syst. Appl. Ben Moews, J. Michael Herrmann, Gbenga Ibikunle
2019	J	`jnl`	Underwater Loop-Closure Detection for Mechanical Scanning Imaging Sonar by Filtering the Similarity Matrix With Probability Hypothesis Density Filter. IEEE Access Min Jiang, Xisheng Feng, Sanming Song, J. Michael Herrmann, Ji-Hong Li, Yiping Li, Zhiqiang Hu, Zhigang Li, Jian Liu, Shuo Li
2018	J	`jnl`	Lagged correlation-based deep learning for directional trend change prediction in financial time series. CoRR Ben Moews, J. Michael Herrmann, Gbenga Ibikunle
2017	—	`conf`	Self-organisation of Spatial Behaviour in a Kilobot Swarm. Living Machines Calum Imrie, J. Michael Herrmann
2017	J	`jnl`	Stochastic stability of particle swarm optimisation. Swarm Intell. Adam Erskine, Thomas Joyce, J. Michael Herrmann
2017	J	`jnl`	The Voynich Manuscript is Written in Natural Language: The Pahlavi Hypothesis. CoRR J. Michael Herrmann
2016	—	`conf`	Forward-looking sonar image mosaicking by feature tracking. ROBIO Sanming Song, J. Michael Herrmann, Kaizhou Liu, Shuo Li, Xisheng Feng
2016	J	`jnl`	Local Autoencoding for Parameter Estimation in a Hidden Potts-Markov Random Field. IEEE Trans. Image Process. Sanming Song, Bailu Si, J. Michael Herrmann, Xisheng Feng
2016	—	`conf`	Parameter Selection in Particle Swarm Optimisation from Stochastic Stability Analysis. ANTS Conference Adam Erskine, Thomas Joyce, J. Michael Herrmann
2015	J	`jnl`	Cell-Division Behavior in a Heterogeneous Swarm Environment. Artif. Life Adam Erskine, J. Michael Herrmann
2015	—	`conf`	CriPS: Critical Particle Swarm Optimisation. ECAL Adam Erskine, J. Michael Herrmann
2015	J	`jnl`	Critical Parameters in Particle Swarm Optimisation. CoRR J. Michael Herrmann, Adam Erskine, Thomas Joyce
2014	J	`jnl`	CriPS: Critical Dynamics in Particle Swarm Optimization. CoRR Adam Erskine, J. Michael Herrmann
2013	—	`conf`	Cell Division Behaviour in a Heterogeneous Swarm Environment. ECAL Adam Erskine, J. Michael Herrmann
2013	J	`jnl`	Critical dynamics in associative memory networks. Frontiers Comput. Neurosci. Maximilian Uhlig, Anna Levina, Theo Geisel, J. Michael Herrmann
2013	—	`conf`	Long term stability of surface EMG pattern classification for prosthetic control. EMBC Sebastian Amsuss, Liliana Paredes, Nina Rudigkeit, Bernhard Graimann, J. Michael Herrmann, Dario Farina
2013	—	`conf`	Self-Organisation of Generic Policies in Reinforcement Learning. ECAL Simón C. Smith, J. Michael Herrmann
2012	—	`conf`	Modeling Structure and Dynamics of Selective Attention. BICA Hecke Schrobsdorff, Matthias Ihrke, J. Michael Herrmann
2012	—	`conf`	Spatial Feature Extraction for Classification of Nonstationary Myoelectric Signals. ICMLA (2) David Hofmann, J. Michael Herrmann
2012	J	`jnl`	The Neural Representation of Time: An Information-Theoretic Perspective. Neural Comput. Joachim Hass, J. Michael Herrmann
2012	J	`jnl`	Variants of guided self-organization for robot control. Theory Biosci. Georg Martius, J. Michael Herrmann
2011	J	`jnl`	Compositionality of arm movements can be realized by propagating synchrony. J. Comput. Neurosci. Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann
2011	—	`conf`	Homeokinetic Reinforcement Learning. PSL Simón C. Smith, J. Michael Herrmann
2011	J	`jnl`	Recurrence-Based Estimation of Time-Distortion Functions for ERP Waveform Reconstruction. Int. J. Neural Syst. Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann
2011	—	`conf`	Tipping the scales: guidance and intrinsically motivated behavior. ECAL Georg Martius, J. Michael Herrmann
2010	A	`conf`	Homeokinetic proportional control of myoelectric prostheses. IROS Frank Hesse, J. Michael Herrmann
2010	B	`conf`	Homeokinetic prosthetic control: collaborative selection of myosignal features. RO-MAN Frank Hesse, J. Michael Herrmann
2010	—	`conf`	Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots. SAB Georg Martius, J. Michael Herrmann
2009	J	`jnl`	A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior. Algorithms Frank Hesse, Georg Martius, Ralf Der, J. Michael Herrmann
2009	J	`jnl`	Modulated Exploratory Dynamics Can Shape Self-Organized Behavior. Adv. Complex Syst. Frank Hesse, Ralf Der, J. Michael Herrmann
2009	C	`conf`	Recurrence-Based Synchronization of Single Trials for EEG-Data Analysis. IDEAL Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann
2009	J	`jnl`	Stability of Localized Patterns in Neural Fields. Neural Comput. Konstantin Doubrovinski, J. Michael Herrmann
2008	J	`jnl`	A neurocomputational model for optimal temporal processing. J. Comput. Neurosci. Joachim Haß, Stefan Blaschke, Thomas Rammsayer, J. Michael Herrmann
2008	C	`conf`	Compensation for Speed-of-Processing Effects in EEG-Data Analysis. IDEAL Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann
2008	—	`conf`	Emergence of Interaction among Adaptive Agents. SAB Georg Martius, Stefano Nolfi, J. Michael Herrmann
2008	C	`conf`	Statistical Baselines from Random Matrix Theory. IDEAL Marotesa Voultsidou, J. Michael Herrmann
2008	A	`conf`	Structure from behavior in autonomous agents. IROS Georg Martius, Katja Fiedler, J. Michael Herrmann
2008	J	`jnl`	Symmetries, non-Euclidean metrics, and patterns in a Swift-Hohenberg model of the visual cortex. Biol. Cybern. Norbert Michael Mayer, Matthew Browne, J. Michael Herrmann, Minoru Asada
2007	J	`jnl`	A computational approach to negative priming. Connect. Sci. Hecke Schrobsdorff, Matthias Ihrke, B. Kabisch, J. Behrendt, Marcus Hasselhorn, J. Michael Herrmann
2007	J	`jnl`	A feature-binding model with localized excitations. Neurocomputing Hecke Schrobsdorff, J. Michael Herrmann, Theo Geisel
2007	J	`jnl`	Criticality of avalanche dynamics in adaptive recurrent networks. Neurocomputing Anna Levina, Udo Ernst, J. Michael Herrmann
2007	—	`conf`	Gain-based Exploration: From Multi-armed Bandits to Partially Observable Environments. ICNC (1) Bailu Si, J. Michael Herrmann, Klaus Pawelzik
2007	—	`conf`	Guided Self-organisation for Autonomous Robot Development. ECAL Georg Martius, J. Michael Herrmann, Ralf Der
2007	C	`conf`	Statistical Analysis of Sample-Size Effects in ICA. IDEAL J. Michael Herrmann, Fabian J. Theis
2006	J	`jnl`	Optimal Mass Distribution for Passivity-Based Bipedal Robots. Int. J. Robotics Res. Joachim Haß, J. Michael Herrmann, Theo Geisel
2005	—	`conf`	Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches. NIPS Anna Levina, J. Michael Herrmann, Theo Geisel
2005	J	`jnl`	Localized activations in a simple neural field model. Neurocomputing J. Michael Herrmann, Hecke Schrobsdorff, Theo Geisel
2005	J	`jnl`	Neural Networks Approach to Clustering of Activity in fMRI Data. IEEE Trans. Medical Imaging Marotesa Voultsidou, Silke Dodel, J. Michael Herrmann
2004	—	`conf`	Analysis of Correlated Activity in fMRI Data by Artificial Neural Networks. ISBI Marotesa Voultsidou, Silke Dodel, J. Michael Herrmann
2004	—	`conf`	Robot Exploration by Subjectively Maximizing Objective Information Gain. ROBIO Bailu Si, Klaus Pawelzik, J. Michael Herrmann
2003	J	`jnl`	Shaping of Receptive Fields in the Visual Cortex During Retinal Maturation. J. Comput. Neurosci. Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel
2002	J	`jnl`	Curved feature metrics in models of visual cortex. Neurocomputing Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel
2002	J	`jnl`	Effects of short-time plasticity on the associative memory. Neurocomputing Dmitri Bibitchkov, J. Michael Herrmann, Theo Geisel
2002	J	`jnl`	Functional connectivity by cross-correlation clustering. Neurocomputing Silke Dodel, J. Michael Herrmann, Theo Geisel
2001	J	`jnl`	Dynamical systems for predictive control of autonomous robots. Theory Biosci. J. Michael Herrmann
2001	J	`jnl`	Signatures of natural image statistics in cortical simple cell receptive fields. Neurocomputing Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel
2001	—	`conf`	Stimulus-Independent Data Analysis for fMRI. Emergent Neural Computational Architectures Based on Neuroscience Silke Dodel, J. Michael Herrmann, Theo Geisel
2000	J	`jnl`	Learning predictive representations. Neurocomputing J. Michael Herrmann, Klaus Pawelzik, Theo Geisel
2000	J	`jnl`	Localization of brain activity - blind separation for fMRI data. Neurocomputing Silke Dodel, J. Michael Herrmann, Theo Geisel
2000	J	`jnl`	Retinotopy and spatial phase in topographic maps. Neurocomputing Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel
2000	—	`conf`	Structure Formation in Visual Cortex Based on a Curved Feature Space. IJCNN (6) Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel
2000	—	`conf`	Synaptic Depression in Associative Memory Networks. IJCNN (5) Dmitri Bibitchkov, J. Michael Herrmann, Theo Geisel
1999	J	`jnl`	Neural maps and topographic vector quantization. Neural Networks Hans-Ulrich Bauer, J. Michael Herrmann, Thomas Villmann
1999	J	`jnl`	Self-Localization of Autonomous Robots by Hidden Representations. Auton. Robots J. Michael Herrmann, Klaus Pawelzik, Theo Geisel
1999	J	`jnl`	Simultaneous self-organization of place and direction selectivity in a neural model of self-localization. Neurocomputing J. Michael Herrmann, Klaus Pawelzik
1998	B	`conf`	Magnification control in neural maps. ESANN Thomas Villmann, J. Michael Herrmann
1997	B	`conf`	Measuring topology preservation in maps of real-world data. ESANN J. Michael Herrmann, Hans-Ulrich Bauer, Thomas Villmann
1997	J	`jnl`	Time behavior of topological ordering in self-organizing feature mapping. Biol. Cybern. Ralf Der, J. Michael Herrmann, Thomas Villmann
1997	J	`jnl`	Topology preservation in self-organizing feature maps: exact definition and measurement. IEEE Trans. Neural Networks Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz
1997	C	`conf`	Vector Quantization by Optimal Neural Gas. ICANN J. Michael Herrmann, Thomas Villmann
1994	B	`conf`	Instabilities in self-organized feature maps with short neighbourhood range. ESANN Ralf Der, J. Michael Herrmann
1994	—	`conf`	Topology Preservation in Self-Organizing Feature Maps: General Definition and Efficient Measurement. Fuzzy Days Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz