J. Michael Herrmann

According to our database, J. Michael Herrmann authored at least 78 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Stability, Entropy and Performance in PSO.

Yurdusev Yakup Akan, J. Michael Herrmann

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Influence of Animallike Affective Non-verbal Behavior on Children's Perceptions of a Zoomorphic Robot.

Isobel Voysey, Lynne Baillie, Joanne Williams, J. Michael Herrmann

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

2021

The paradox of choice in evolving swarms: information overload leads to limited sensing.

Calum C. Imrie, J. Michael Herrmann, Olaf Witkowski

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control.

Simón C. Smith, Richard Dharmadi, Calum Imrie, Bailu Si, J. Michael Herrmann

Frontiers Neurorobotics, 2020

Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator.

Roy Eliya, J. Michael Herrmann

CoRR, 2020

Reflexive Reinforcement Learning: Methods for Self-Referential Autonomous Learning.

B. I. Lyons, J. Michael Herrmann

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

2019

Evaluation of Internal Models in Autonomous Learning.

Simón C. Smith, J. Michael Herrmann

IEEE Trans. Cogn. Dev. Syst., 2019

Lagged correlation-based deep learning for directional trend change prediction in financial time series.

Ben Moews, J. Michael Herrmann, Gbenga Ibikunle

Expert Syst. Appl., 2019

Underwater Loop-Closure Detection for Mechanical Scanning Imaging Sonar by Filtering the Similarity Matrix With Probability Hypothesis Density Filter.

Min Jiang, Xisheng Feng, Sanming Song, J. Michael Herrmann, Ji-Hong Li, Yiping Li, Zhiqiang Hu, Zhigang Li, Jian Liu, Shuo Li

IEEE Access, 2019

2017

Stochastic stability of particle swarm optimisation.

Adam Erskine, Thomas Joyce, J. Michael Herrmann

Swarm Intell., 2017

The Voynich Manuscript is Written in Natural Language: The Pahlavi Hypothesis.

J. Michael Herrmann

CoRR, 2017

Self-organisation of Spatial Behaviour in a Kilobot Swarm.

Calum Imrie, J. Michael Herrmann

Proceedings of the Biomimetic and Biohybrid Systems - 6th International Conference, 2017

2016

Local Autoencoding for Parameter Estimation in a Hidden Potts-Markov Random Field.

Sanming Song, Bailu Si, J. Michael Herrmann, Xisheng Feng

IEEE Trans. Image Process., 2016

Forward-looking sonar image mosaicking by feature tracking.

Sanming Song, J. Michael Herrmann, Kaizhou Liu, Shuo Li, Xisheng Feng

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

Parameter Selection in Particle Swarm Optimisation from Stochastic Stability Analysis.

Adam Erskine, Thomas Joyce, J. Michael Herrmann

Proceedings of the Swarm Intelligence - 10th International Conference, 2016

2015

Critical Parameters in Particle Swarm Optimisation.

J. Michael Herrmann, Adam Erskine, Thomas Joyce

CoRR, 2015

Cell-Division Behavior in a Heterogeneous Swarm Environment.

Adam Erskine, J. Michael Herrmann

Artif. Life, 2015

CriPS: Critical Particle Swarm Optimisation.

Adam Erskine, J. Michael Herrmann

Proceedings of the Thirteenth European Conference Artificial Life, 2015

2014

CriPS: Critical Dynamics in Particle Swarm Optimization.

Adam Erskine, J. Michael Herrmann

CoRR, 2014

2013

Critical dynamics in associative memory networks.

Maximilian Uhlig, Anna Levina, Theo Geisel, J. Michael Herrmann

Frontiers Comput. Neurosci., 2013

Long term stability of surface EMG pattern classification for prosthetic control.

Sebastian Amsuss, Liliana Paredes, Nina Rudigkeit, Bernhard Graimann, J. Michael Herrmann, Dario Farina

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Self-Organisation of Generic Policies in Reinforcement Learning.

Simón C. Smith, J. Michael Herrmann

Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

Cell Division Behaviour in a Heterogeneous Swarm Environment.

Adam Erskine, J. Michael Herrmann

Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

2012

Variants of guided self-organization for robot control.

Georg Martius, J. Michael Herrmann

Theory Biosci., 2012

The Neural Representation of Time: An Information-Theoretic Perspective.

Joachim Hass, J. Michael Herrmann

Neural Comput., 2012

Spatial Feature Extraction for Classification of Nonstationary Myoelectric Signals.

David Hofmann, J. Michael Herrmann

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Modeling Structure and Dynamics of Selective Attention.

Hecke Schrobsdorff, Matthias Ihrke, J. Michael Herrmann

Proceedings of the Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31, 2012

2011

Compositionality of arm movements can be realized by propagating synchrony.

Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann

J. Comput. Neurosci., 2011

Recurrence-Based Estimation of Time-Distortion Functions for ERP Waveform Reconstruction.

Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann

Int. J. Neural Syst., 2011

Homeokinetic Reinforcement Learning.

Simón C. Smith, J. Michael Herrmann

Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011

Tipping the scales: guidance and intrinsically motivated behavior.

Georg Martius, J. Michael Herrmann

Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

2010

Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots.

Georg Martius, J. Michael Herrmann

Proceedings of the From Animals to Animats 11, 2010

Homeokinetic prosthetic control: collaborative selection of myosignal features.

Frank Hesse, J. Michael Herrmann

Proceedings of the 19th IEEE International Conference on Robot and Human Interactive Communication, 2010

Homeokinetic proportional control of myoelectric prostheses.

Frank Hesse, J. Michael Herrmann

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

Stability of Localized Patterns in Neural Fields.

Konstantin Doubrovinski, J. Michael Herrmann

Neural Comput., 2009

A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior.

Frank Hesse, Georg Martius, Ralf Der, J. Michael Herrmann

Algorithms, 2009

Modulated Exploratory Dynamics Can Shape Self-Organized Behavior.

Frank Hesse, Ralf Der, J. Michael Herrmann

Adv. Complex Syst., 2009

Recurrence-Based Synchronization of Single Trials for EEG-Data Analysis.

Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

2008

A neurocomputational model for optimal temporal processing.

Joachim Haß, Stefan Blaschke, Thomas Rammsayer, J. Michael Herrmann

J. Comput. Neurosci., 2008

Symmetries, non-Euclidean metrics, and patterns in a Swift-Hohenberg model of the visual cortex.

Norbert Michael Mayer, Matthew Browne, J. Michael Herrmann, Minoru Asada

Biol. Cybern., 2008

Emergence of Interaction among Adaptive Agents.

Georg Martius, Stefano Nolfi, J. Michael Herrmann

Proceedings of the From Animals to Animats 10, 2008

Structure from behavior in autonomous agents.

Georg Martius, Katja Fiedler, J. Michael Herrmann

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Statistical Baselines from Random Matrix Theory.

Marotesa Voultsidou, J. Michael Herrmann

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Compensation for Speed-of-Processing Effects in EEG-Data Analysis.

Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

2007

A feature-binding model with localized excitations.

Hecke Schrobsdorff, J. Michael Herrmann, Theo Geisel

Neurocomputing, 2007

Criticality of avalanche dynamics in adaptive recurrent networks.

Anna Levina, Udo Ernst, J. Michael Herrmann

Neurocomputing, 2007

A computational approach to negative priming.

Hecke Schrobsdorff, Matthias Ihrke, B. Kabisch, J. Behrendt, Marcus Hasselhorn, J. Michael Herrmann

Connect. Sci., 2007

Statistical Analysis of Sample-Size Effects in ICA.

J. Michael Herrmann, Fabian J. Theis

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Gain-based Exploration: From Multi-armed Bandits to Partially Observable Environments.

Bailu Si, J. Michael Herrmann, Klaus Pawelzik

Proceedings of the Third International Conference on Natural Computation, 2007

Guided Self-organisation for Autonomous Robot Development.

Georg Martius, J. Michael Herrmann, Ralf Der

Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

2006

Optimal Mass Distribution for Passivity-Based Bipedal Robots.

Joachim Haß, J. Michael Herrmann, Theo Geisel

Int. J. Robotics Res., 2006

2005

Neural Networks Approach to Clustering of Activity in fMRI Data.

Marotesa Voultsidou, Silke Dodel, J. Michael Herrmann

IEEE Trans. Medical Imaging, 2005

Localized activations in a simple neural field model.

J. Michael Herrmann, Hecke Schrobsdorff, Theo Geisel

Neurocomputing, 2005

Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches.

Anna Levina, J. Michael Herrmann, Theo Geisel

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

Robot Exploration by Subjectively Maximizing Objective Information Gain.

Bailu Si, Klaus Pawelzik, J. Michael Herrmann

Proceedings of the 2004 IEEE International Conference on Robotics and Biomimetics, 2004

Analysis of Correlated Activity in fMRI Data by Artificial Neural Networks.

Marotesa Voultsidou, Silke Dodel, J. Michael Herrmann

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003

Shaping of Receptive Fields in the Visual Cortex During Retinal Maturation.

Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel

J. Comput. Neurosci., 2003

2002

Curved feature metrics in models of visual cortex.

Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel

Neurocomputing, 2002

Functional connectivity by cross-correlation clustering.

Silke Dodel, J. Michael Herrmann, Theo Geisel

Neurocomputing, 2002

Effects of short-time plasticity on the associative memory.

Dmitri Bibitchkov, J. Michael Herrmann, Theo Geisel

Neurocomputing, 2002

2001

Dynamical systems for predictive control of autonomous robots.

J. Michael Herrmann

Theory Biosci., 2001

Signatures of natural image statistics in cortical simple cell receptive fields.

Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel

Neurocomputing, 2001

Stimulus-Independent Data Analysis for fMRI.

Silke Dodel, J. Michael Herrmann, Theo Geisel

Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

2000

Retinotopy and spatial phase in topographic maps.

Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel

Neurocomputing, 2000

Learning predictive representations.

J. Michael Herrmann, Klaus Pawelzik, Theo Geisel

Neurocomputing, 2000

Localization of brain activity - blind separation for fMRI data.

Silke Dodel, J. Michael Herrmann, Theo Geisel

Neurocomputing, 2000

Structure Formation in Visual Cortex Based on a Curved Feature Space.

Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Synaptic Depression in Associative Memory Networks.

Dmitri Bibitchkov, J. Michael Herrmann, Theo Geisel

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Neural maps and topographic vector quantization.

Hans-Ulrich Bauer, J. Michael Herrmann, Thomas Villmann

Neural Networks, 1999

Simultaneous self-organization of place and direction selectivity in a neural model of self-localization.

J. Michael Herrmann, Klaus Pawelzik

Neurocomputing, 1999

Self-Localization of Autonomous Robots by Hidden Representations.

J. Michael Herrmann, Klaus Pawelzik, Theo Geisel

Auton. Robots, 1999

1998

Magnification control in neural maps.

Thomas Villmann, J. Michael Herrmann

Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997

Topology preservation in self-organizing feature maps: exact definition and measurement.

Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz

IEEE Trans. Neural Networks, 1997

Time behavior of topological ordering in self-organizing feature mapping.

Ralf Der, J. Michael Herrmann, Thomas Villmann

Biol. Cybern., 1997

Vector Quantization by Optimal Neural Gas.

J. Michael Herrmann, Thomas Villmann

Proceedings of the Artificial Neural Networks, 1997

Measuring topology preservation in maps of real-world data.

J. Michael Herrmann, Hans-Ulrich Bauer, Thomas Villmann

Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

1994

Topology Preservation in Self-Organizing Feature Maps: General Definition and Efficient Measurement.

Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz

Proceedings of the Fuzzy Logik, 1994

Instabilities in self-organized feature maps with short neighbourhood range.

Ralf Der, J. Michael Herrmann

Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994