J. Michael Herrmann

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 17

Top Topics

Financial Time Series

Particle Swarm Optimisation

Autonomous Learning

Similarity Matrix

Top Venues

IEEE Trans. Cogn. Dev. Syst.

IEEE Trans. Image Process.

Publications

Han Li, Jin Sun, J. Michael Herrmann
Beyond jamming grippers: granular material in robotics. Adv. Robotics 38 (11) (2024)
Yurdusev Yakup Akan, J. Michael Herrmann
Stability, Entropy and Performance in PSO. GECCO Companion (2023)
Isobel Voysey, Lynne Baillie, Joanne Williams, J. Michael Herrmann
Influence of Animallike Affective Non-verbal Behavior on Children's Perceptions of a Zoomorphic Robot. RO-MAN (2022)
Calum C. Imrie, J. Michael Herrmann, Olaf Witkowski
The paradox of choice in evolving swarms: information overload leads to limited sensing. GECCO (2021)
Roy Eliya, J. Michael Herrmann
Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator. CoRR (2020)
Simón C. Smith, Richard Dharmadi, Calum Imrie, Bailu Si, J. Michael Herrmann
The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control. Frontiers Neurorobotics 14 (2020)
B. I. Lyons, J. Michael Herrmann
Reflexive Reinforcement Learning: Methods for Self-Referential Autonomous Learning. IJCCI (2020)
Simón C. Smith, J. Michael Herrmann
Evaluation of Internal Models in Autonomous Learning. IEEE Trans. Cogn. Dev. Syst. 11 (4) (2019)
Min Jiang, Xisheng Feng, Sanming Song, J. Michael Herrmann, Ji-Hong Li, Yiping Li, Zhiqiang Hu, Zhigang Li, Jian Liu, Shuo Li
Underwater Loop-Closure Detection for Mechanical Scanning Imaging Sonar by Filtering the Similarity Matrix With Probability Hypothesis Density Filter. IEEE Access 7 (2019)
Ben Moews, J. Michael Herrmann, Gbenga Ibikunle
Lagged correlation-based deep learning for directional trend change prediction in financial time series. Expert Syst. Appl. 120 (2019)
Ben Moews, J. Michael Herrmann, Gbenga Ibikunle
Lagged correlation-based deep learning for directional trend change prediction in financial time series. CoRR (2018)
Calum Imrie, J. Michael Herrmann
Self-organisation of Spatial Behaviour in a Kilobot Swarm. Living Machines (2017)
J. Michael Herrmann
The Voynich Manuscript is Written in Natural Language: The Pahlavi Hypothesis. CoRR (2017)
Adam Erskine, Thomas Joyce, J. Michael Herrmann
Stochastic stability of particle swarm optimisation. Swarm Intell. 11 (3-4) (2017)
Sanming Song, Bailu Si, J. Michael Herrmann, Xisheng Feng
Local Autoencoding for Parameter Estimation in a Hidden Potts-Markov Random Field. IEEE Trans. Image Process. 25 (5) (2016)
Adam Erskine, Thomas Joyce, J. Michael Herrmann
Parameter Selection in Particle Swarm Optimisation from Stochastic Stability Analysis. ANTS Conference (2016)
Sanming Song, J. Michael Herrmann, Kaizhou Liu, Shuo Li, Xisheng Feng
Forward-looking sonar image mosaicking by feature tracking. ROBIO (2016)
Adam Erskine, J. Michael Herrmann
CriPS: Critical Particle Swarm Optimisation. ECAL (2015)
J. Michael Herrmann, Adam Erskine, Thomas Joyce
Critical Parameters in Particle Swarm Optimisation. CoRR (2015)
Adam Erskine, J. Michael Herrmann
Cell-Division Behavior in a Heterogeneous Swarm Environment. Artif. Life 21 (4) (2015)
Adam Erskine, J. Michael Herrmann
CriPS: Critical Dynamics in Particle Swarm Optimization. CoRR (2014)
Sebastian Amsuss, Liliana Paredes, Nina Rudigkeit, Bernhard Graimann, J. Michael Herrmann, Dario Farina
Long term stability of surface EMG pattern classification for prosthetic control. EMBC (2013)
Adam Erskine, J. Michael Herrmann
Cell Division Behaviour in a Heterogeneous Swarm Environment. ECAL (2013)
Simón C. Smith, J. Michael Herrmann
Self-Organisation of Generic Policies in Reinforcement Learning. ECAL (2013)
Maximilian Uhlig, Anna Levina, Theo Geisel, J. Michael Herrmann
Critical dynamics in associative memory networks. Frontiers Comput. Neurosci. 7 (2013)
David Hofmann, J. Michael Herrmann
Spatial Feature Extraction for Classification of Nonstationary Myoelectric Signals. ICMLA (2) (2012)
Georg Martius, J. Michael Herrmann
Variants of guided self-organization for robot control. Theory Biosci. 131 (3) (2012)
Hecke Schrobsdorff, Matthias Ihrke, J. Michael Herrmann
Modeling Structure and Dynamics of Selective Attention. BICA (2012)
Joachim Hass, J. Michael Herrmann
The Neural Representation of Time: An Information-Theoretic Perspective. Neural Comput. 24 (6) (2012)
Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann
Recurrence-Based Estimation of Time-Distortion Functions for ERP Waveform Reconstruction. Int. J. Neural Syst. 21 (1) (2011)
Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann
Compositionality of arm movements can be realized by propagating synchrony. J. Comput. Neurosci. 30 (3) (2011)
Georg Martius, J. Michael Herrmann
Tipping the scales: guidance and intrinsically motivated behavior. ECAL (2011)
Simón C. Smith, J. Michael Herrmann
Homeokinetic Reinforcement Learning. PSL (2011)
Georg Martius, J. Michael Herrmann
Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots. SAB (2010)
Frank Hesse, J. Michael Herrmann
Homeokinetic prosthetic control: collaborative selection of myosignal features. RO-MAN (2010)
Frank Hesse, J. Michael Herrmann
Homeokinetic proportional control of myoelectric prostheses. IROS (2010)
Frank Hesse, Georg Martius, Ralf Der, J. Michael Herrmann
A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior. Algorithms 2 (1) (2009)
Konstantin Doubrovinski, J. Michael Herrmann
Stability of Localized Patterns in Neural Fields. Neural Comput. 21 (4) (2009)
Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann
Recurrence-Based Synchronization of Single Trials for EEG-Data Analysis. IDEAL (2009)
Frank Hesse, Ralf Der, J. Michael Herrmann
Modulated Exploratory Dynamics Can Shape Self-Organized Behavior. Adv. Complex Syst. 12 (3) (2009)
Georg Martius, Stefano Nolfi, J. Michael Herrmann
Emergence of Interaction among Adaptive Agents. SAB (2008)
Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann
Compensation for Speed-of-Processing Effects in EEG-Data Analysis. IDEAL (2008)
Georg Martius, Katja Fiedler, J. Michael Herrmann
Structure from behavior in autonomous agents. IROS (2008)
Joachim Haß, Stefan Blaschke, Thomas Rammsayer, J. Michael Herrmann
A neurocomputational model for optimal temporal processing. J. Comput. Neurosci. 25 (3) (2008)
Marotesa Voultsidou, J. Michael Herrmann
Statistical Baselines from Random Matrix Theory. IDEAL (2008)
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. Biol. Cybern. 99 (1) (2008)
Anna Levina, Udo Ernst, J. Michael Herrmann
Criticality of avalanche dynamics in adaptive recurrent networks. Neurocomputing 70 (10-12) (2007)
J. Michael Herrmann, Fabian J. Theis
Statistical Analysis of Sample-Size Effects in ICA. IDEAL (2007)
Bailu Si, J. Michael Herrmann, Klaus Pawelzik
Gain-based Exploration: From Multi-armed Bandits to Partially Observable Environments. ICNC (1) (2007)
Hecke Schrobsdorff, J. Michael Herrmann, Theo Geisel
A feature-binding model with localized excitations. Neurocomputing 70 (10-12) (2007)
Hecke Schrobsdorff, Matthias Ihrke, B. Kabisch, J. Behrendt, Marcus Hasselhorn, J. Michael Herrmann
A computational approach to negative priming. Connect. Sci. 19 (3) (2007)
Georg Martius, J. Michael Herrmann, Ralf Der
Guided Self-organisation for Autonomous Robot Development. ECAL (2007)
Joachim Haß, J. Michael Herrmann, Theo Geisel
Optimal Mass Distribution for Passivity-Based Bipedal Robots. Int. J. Robotics Res. 25 (11) (2006)
J. Michael Herrmann, Hecke Schrobsdorff, Theo Geisel
Localized activations in a simple neural field model. Neurocomputing (2005)
Anna Levina, J. Michael Herrmann, Theo Geisel
Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches. NIPS (2005)
Marotesa Voultsidou, Silke Dodel, J. Michael Herrmann
Neural Networks Approach to Clustering of Activity in fMRI Data. IEEE Trans. Medical Imaging 24 (8) (2005)
Bailu Si, Klaus Pawelzik, J. Michael Herrmann
Robot Exploration by Subjectively Maximizing Objective Information Gain. ROBIO (2004)
Marotesa Voultsidou, Silke Dodel, J. Michael Herrmann
Analysis of Correlated Activity in fMRI Data by Artificial Neural Networks. ISBI (2004)
Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel
Shaping of Receptive Fields in the Visual Cortex During Retinal Maturation. J. Comput. Neurosci. 15 (3) (2003)
Dmitri Bibitchkov, J. Michael Herrmann, Theo Geisel
Effects of short-time plasticity on the associative memory. Neurocomputing (2002)
Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel
Curved feature metrics in models of visual cortex. Neurocomputing (2002)
Silke Dodel, J. Michael Herrmann, Theo Geisel
Functional connectivity by cross-correlation clustering. Neurocomputing (2002)
J. Michael Herrmann
Dynamical systems for predictive control of autonomous robots. Theory Biosci. 120 (3-4) (2001)
Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel
Signatures of natural image statistics in cortical simple cell receptive fields. Neurocomputing (2001)
Silke Dodel, J. Michael Herrmann, Theo Geisel
Stimulus-Independent Data Analysis for fMRI. Emergent Neural Computational Architectures Based on Neuroscience (2001)
Silke Dodel, J. Michael Herrmann, Theo Geisel
Localization of brain activity - blind separation for fMRI data. Neurocomputing (2000)
Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel
Retinotopy and spatial phase in topographic maps. Neurocomputing (2000)
Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel
Structure Formation in Visual Cortex Based on a Curved Feature Space. IJCNN (6) (2000)
J. Michael Herrmann, Klaus Pawelzik, Theo Geisel
Learning predictive representations. Neurocomputing (2000)
Dmitri Bibitchkov, J. Michael Herrmann, Theo Geisel
Synaptic Depression in Associative Memory Networks. IJCNN (5) (2000)
Hans-Ulrich Bauer, J. Michael Herrmann, Thomas Villmann
Neural maps and topographic vector quantization. Neural Networks 12 (4-5) (1999)
J. Michael Herrmann, Klaus Pawelzik
Simultaneous self-organization of place and direction selectivity in a neural model of self-localization. Neurocomputing (1999)
J. Michael Herrmann, Klaus Pawelzik, Theo Geisel
Self-Localization of Autonomous Robots by Hidden Representations. Auton. Robots 7 (1) (1999)
Thomas Villmann, J. Michael Herrmann
Magnification control in neural maps. ESANN (1998)
Ralf Der, J. Michael Herrmann, Thomas Villmann
Time behavior of topological ordering in self-organizing feature mapping. Biol. Cybern. 77 (6) (1997)
J. Michael Herrmann, Thomas Villmann
Vector Quantization by Optimal Neural Gas. ICANN (1997)
Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz
Topology preservation in self-organizing feature maps: exact definition and measurement. IEEE Trans. Neural Networks 8 (2) (1997)
J. Michael Herrmann, Hans-Ulrich Bauer, Thomas Villmann
Measuring topology preservation in maps of real-world data. ESANN (1997)
Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz
Topology Preservation in Self-Organizing Feature Maps: General Definition and Efficient Measurement. Fuzzy Days (1994)
Ralf Der, J. Michael Herrmann
Instabilities in self-organized feature maps with short neighbourhood range. ESANN (1994)