default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJ. Michael Herrmann
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j38]Han Li
, Jin Sun, J. Michael Herrmann:
Beyond jamming grippers: granular material in robotics. Adv. Robotics 38(11): 715-729 (2024)- 2023
- [c37]Yurdusev Yakup Akan, J. Michael Herrmann:
Stability, Entropy and Performance in PSO. GECCO Companion 2023: 811-814 - 2022
- [c36]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: 1443-1450 - 2021
- [c35]Calum C. Imrie, J. Michael Herrmann, Olaf Witkowski:
The paradox of choice in evolving swarms: information overload leads to limited sensing. GECCO 2021: 22-30 - 2020
- [j37]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: 62 (2020) - [c34]B. I. Lyons, J. Michael Herrmann:
Reflexive Reinforcement Learning: Methods for Self-Referential Autonomous Learning. IJCCI 2020: 381-388 - [i5]Roy Eliya, J. Michael Herrmann:
Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator. CoRR abs/2009.08403 (2020)
2010 – 2019
- 2019
- [j36]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: 166614-166628 (2019) - [j35]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: 197-206 (2019) - [j34]Simón C. Smith, J. Michael Herrmann:
Evaluation of Internal Models in Autonomous Learning. IEEE Trans. Cogn. Dev. Syst. 11(4): 463-472 (2019) - 2018
- [i4]Ben Moews, J. Michael Herrmann, Gbenga Ibikunle:
Lagged correlation-based deep learning for directional trend change prediction in financial time series. CoRR abs/1811.11287 (2018) - 2017
- [j33]Adam Erskine, Thomas Joyce, J. Michael Herrmann:
Stochastic stability of particle swarm optimisation. Swarm Intell. 11(3-4): 295-315 (2017) - [c33]Calum Imrie, J. Michael Herrmann:
Self-organisation of Spatial Behaviour in a Kilobot Swarm. Living Machines 2017: 551-561 - [i3]J. Michael Herrmann:
The Voynich Manuscript is Written in Natural Language: The Pahlavi Hypothesis. CoRR abs/1709.01634 (2017) - 2016
- [j32]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): 2324-2336 (2016) - [c32]Adam Erskine, Thomas Joyce, J. Michael Herrmann:
Parameter Selection in Particle Swarm Optimisation from Stochastic Stability Analysis. ANTS Conference 2016: 161-172 - [c31]Sanming Song, J. Michael Herrmann, Kaizhou Liu, Shuo Li, Xisheng Feng:
Forward-looking sonar image mosaicking by feature tracking. ROBIO 2016: 1613-1618 - 2015
- [j31]Adam Erskine, J. Michael Herrmann:
Cell-Division Behavior in a Heterogeneous Swarm Environment. Artif. Life 21(4): 481-500 (2015) - [c30]Adam Erskine, J. Michael Herrmann:
CriPS: Critical Particle Swarm Optimisation. ECAL 2015: 207-214 - [i2]J. Michael Herrmann, Adam Erskine, Thomas Joyce:
Critical Parameters in Particle Swarm Optimisation. CoRR abs/1511.06248 (2015) - 2014
- [i1]Adam Erskine, J. Michael Herrmann:
CriPS: Critical Dynamics in Particle Swarm Optimization. CoRR abs/1402.6888 (2014) - 2013
- [j30]Maximilian Uhlig, Anna Levina, Theo Geisel, J. Michael Herrmann:
Critical dynamics in associative memory networks. Frontiers Comput. Neurosci. 7: 87 (2013) - [c29]Adam Erskine, J. Michael Herrmann:
Cell Division Behaviour in a Heterogeneous Swarm Environment. ECAL 2013: 35-42 - [c28]Simón C. Smith, J. Michael Herrmann:
Self-Organisation of Generic Policies in Reinforcement Learning. ECAL 2013: 641-648 - [c27]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: 3622-3625 - 2012
- [j29]Joachim Hass, J. Michael Herrmann:
The Neural Representation of Time: An Information-Theoretic Perspective. Neural Comput. 24(6): 1519-1552 (2012) - [j28]Georg Martius, J. Michael Herrmann:
Variants of guided self-organization for robot control. Theory Biosci. 131(3): 129-137 (2012) - [c26]Hecke Schrobsdorff, Matthias Ihrke, J. Michael Herrmann:
Modeling Structure and Dynamics of Selective Attention. BICA 2012: 287-295 - [c25]David Hofmann, J. Michael Herrmann:
Spatial Feature Extraction for Classification of Nonstationary Myoelectric Signals. ICMLA (2) 2012: 416-421 - 2011
- [j27]Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann:
Recurrence-Based Estimation of Time-Distortion Functions for ERP Waveform Reconstruction. Int. J. Neural Syst. 21(1): 65-78 (2011) - [j26]Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann:
Compositionality of arm movements can be realized by propagating synchrony. J. Comput. Neurosci. 30(3): 675-697 (2011) - [c24]Georg Martius, J. Michael Herrmann:
Tipping the scales: guidance and intrinsically motivated behavior. ECAL 2011: 506-513 - [c23]Simón C. Smith, J. Michael Herrmann:
Homeokinetic Reinforcement Learning. PSL 2011: 82-91 - 2010
- [c22]Frank Hesse, J. Michael Herrmann:
Homeokinetic proportional control of myoelectric prostheses. IROS 2010: 1786-1791 - [c21]Frank Hesse, J. Michael Herrmann:
Homeokinetic prosthetic control: collaborative selection of myosignal features. RO-MAN 2010: 410-415 - [c20]Georg Martius, J. Michael Herrmann:
Taming the Beast: Guided Self-organization of Behavior in Autonomous Robots. SAB 2010: 50-61
2000 – 2009
- 2009
- [j25]Frank Hesse, Ralf Der, J. Michael Herrmann:
Modulated Exploratory Dynamics Can Shape Self-Organized Behavior. Adv. Complex Syst. 12(3): 273-291 (2009) - [j24]Frank Hesse, Georg Martius, Ralf Der, J. Michael Herrmann:
A Sensor-Based Learning Algorithm for the Self-Organization of Robot Behavior. Algorithms 2(1): 398-409 (2009) - [j23]Konstantin Doubrovinski, J. Michael Herrmann:
Stability of Localized Patterns in Neural Fields. Neural Comput. 21(4): 1125-1144 (2009) - [c19]Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann:
Recurrence-Based Synchronization of Single Trials for EEG-Data Analysis. IDEAL 2009: 118-125 - 2008
- [j22]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): 63-78 (2008) - [j21]Joachim Haß, Stefan Blaschke, Thomas Rammsayer, J. Michael Herrmann:
A neurocomputational model for optimal temporal processing. J. Comput. Neurosci. 25(3): 449-464 (2008) - [c18]Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann:
Compensation for Speed-of-Processing Effects in EEG-Data Analysis. IDEAL 2008: 354-361 - [c17]Marotesa Voultsidou, J. Michael Herrmann:
Statistical Baselines from Random Matrix Theory. IDEAL 2008: 362-369 - [c16]Georg Martius, Katja Fiedler, J. Michael Herrmann:
Structure from behavior in autonomous agents. IROS 2008: 858-862 - [c15]Georg Martius, Stefano Nolfi, J. Michael Herrmann:
Emergence of Interaction among Adaptive Agents. SAB 2008: 457-466 - 2007
- [j20]Hecke Schrobsdorff, Matthias Ihrke, B. Kabisch, J. Behrendt, Marcus Hasselhorn, J. Michael Herrmann:
A computational approach to negative priming. Connect. Sci. 19(3): 203-221 (2007) - [j19]Hecke Schrobsdorff, J. Michael Herrmann, Theo Geisel:
A feature-binding model with localized excitations. Neurocomputing 70(10-12): 1706-1710 (2007) - [j18]Anna Levina, Udo Ernst, J. Michael Herrmann:
Criticality of avalanche dynamics in adaptive recurrent networks. Neurocomputing 70(10-12): 1877-1881 (2007) - [c14]Georg Martius, J. Michael Herrmann, Ralf Der:
Guided Self-organisation for Autonomous Robot Development. ECAL 2007: 766-775 - [c13]Bailu Si, J. Michael Herrmann, Klaus Pawelzik:
Gain-based Exploration: From Multi-armed Bandits to Partially Observable Environments. ICNC (1) 2007: 177-182 - [c12]J. Michael Herrmann, Fabian J. Theis:
Statistical Analysis of Sample-Size Effects in ICA. IDEAL 2007: 416-425 - 2006
- [j17]Joachim Haß, J. Michael Herrmann, Theo Geisel:
Optimal Mass Distribution for Passivity-Based Bipedal Robots. Int. J. Robotics Res. 25(11): 1087-1098 (2006) - 2005
- [j16]J. Michael Herrmann, Hecke Schrobsdorff, Theo Geisel:
Localized activations in a simple neural field model. Neurocomputing 65-66: 679-684 (2005) - [j15]Marotesa Voultsidou, Silke Dodel, J. Michael Herrmann:
Neural Networks Approach to Clustering of Activity in fMRI Data. IEEE Trans. Medical Imaging 24(8): 987-996 (2005) - [c11]Anna Levina, J. Michael Herrmann, Theo Geisel:
Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches. NIPS 2005: 771-778 - 2004
- [c10]Marotesa Voultsidou, Silke Dodel, J. Michael Herrmann:
Analysis of Correlated Activity in fMRI Data by Artificial Neural Networks. ISBI 2004: 872-875 - [c9]Bailu Si, Klaus Pawelzik, J. Michael Herrmann:
Robot Exploration by Subjectively Maximizing Objective Information Gain. ROBIO 2004: 930-935 - 2003
- [j14]Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel:
Shaping of Receptive Fields in the Visual Cortex During Retinal Maturation. J. Comput. Neurosci. 15(3): 307-320 (2003) - 2002
- [j13]Dmitri Bibitchkov, J. Michael Herrmann, Theo Geisel:
Effects of short-time plasticity on the associative memory. Neurocomputing 44-46: 329-335 (2002) - [j12]Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel:
Curved feature metrics in models of visual cortex. Neurocomputing 44-46: 533-539 (2002) - [j11]Silke Dodel, J. Michael Herrmann, Theo Geisel:
Functional connectivity by cross-correlation clustering. Neurocomputing 44-46: 1065-1070 (2002) - 2001
- [j10]Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel:
Signatures of natural image statistics in cortical simple cell receptive fields. Neurocomputing 38-40: 279-284 (2001) - [j9]J. Michael Herrmann:
Dynamical systems for predictive control of autonomous robots. Theory Biosci. 120(3-4): 241-252 (2001) - [c8]Silke Dodel, J. Michael Herrmann, Theo Geisel:
Stimulus-Independent Data Analysis for fMRI. Emergent Neural Computational Architectures Based on Neuroscience 2001: 39-53 - 2000
- [j8]Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel:
Retinotopy and spatial phase in topographic maps. Neurocomputing 32-33: 447-452 (2000) - [j7]Silke Dodel, J. Michael Herrmann, Theo Geisel:
Localization of brain activity - blind separation for fMRI data. Neurocomputing 32-33: 701-708 (2000) - [j6]J. Michael Herrmann, Klaus Pawelzik, Theo Geisel:
Learning predictive representations. Neurocomputing 32-33: 785-791 (2000) - [c7]Dmitri Bibitchkov, J. Michael Herrmann, Theo Geisel:
Synaptic Depression in Associative Memory Networks. IJCNN (5) 2000: 50-58 - [c6]Norbert Michael Mayer, J. Michael Herrmann, Theo Geisel:
Structure Formation in Visual Cortex Based on a Curved Feature Space. IJCNN (6) 2000: 153-158
1990 – 1999
- 1999
- [j5]J. Michael Herrmann, Klaus Pawelzik, Theo Geisel:
Self-Localization of Autonomous Robots by Hidden Representations. Auton. Robots 7(1): 31-40 (1999) - [j4]J. Michael Herrmann, Klaus Pawelzik:
Simultaneous self-organization of place and direction selectivity in a neural model of self-localization. Neurocomputing 26-27: 721-727 (1999) - [j3]Hans-Ulrich Bauer, J. Michael Herrmann, Thomas Villmann:
Neural maps and topographic vector quantization. Neural Networks 12(4-5): 659-676 (1999) - 1998
- [c5]Thomas Villmann, J. Michael Herrmann:
Magnification control in neural maps. ESANN 1998: 191-196 - 1997
- [j2]Ralf Der, J. Michael Herrmann, Thomas Villmann:
Time behavior of topological ordering in self-organizing feature mapping. Biol. Cybern. 77(6): 419-427 (1997) - [j1]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): 256-266 (1997) - [c4]J. Michael Herrmann, Hans-Ulrich Bauer, Thomas Villmann:
Measuring topology preservation in maps of real-world data. ESANN 1997 - [c3]J. Michael Herrmann, Thomas Villmann:
Vector Quantization by Optimal Neural Gas. ICANN 1997: 625-630 - 1994
- [c2]Ralf Der, J. Michael Herrmann:
Instabilities in self-organized feature maps with short neighbourhood range. ESANN 1994 - [c1]Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz:
Topology Preservation in Self-Organizing Feature Maps: General Definition and Efficient Measurement. Fuzzy Days 1994: 159-166
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-14 22:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
