Martin Stetter

ORCID

Publication Activity (10 Years)

Years Active: 1993-2021
Publications (10 Years): 2

Top Venues

Comput. Intell. Neurosci.

CoRR

ICMLA (1)

Expert Syst. Appl.

University of Regensburg, Germany (PHD)

Education History

University of Regensburg, Germany

PHD

Publications

Martin Stetter, Elmar Wolfgang Lang
Learning Intuitive Physics and One-Shot Imitation Using State-Action-Prediction Self-Organizing Maps. Comput. Intell. Neurosci. 2021 (2021)
Martin Stetter, Elmar Wolfgang Lang
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps. CoRR (2020)
Torsten Schön, Martin Stetter, Ana Maria Tomé, Carlos García Puntonet, Elmar Wolfgang Lang
Physarum Learner: A bio-inspired way of learning structure from data. Expert Syst. Appl. 41 (11) (2014)
Torsten Schön, Martin Stetter, Ana Maria Tomé, Elmar Wolfgang Lang
A New Physarum Learner for Network Structure Learning from Biomedical Data. BIOSIGNALS (2013)
Torsten Schön, Martin Stetter, Elmar Wolfgang Lang
Structure Learning for Bayesian Networks Using the Physarum Solver. ICMLA (1) (2012)
Rui Chang, Martin Stetter, Wilfried Brauer
Quantitative Inference by Qualitative Semantic Knowledge Mining with Bayesian Model Averaging. IEEE Trans. Knowl. Data Eng. 20 (12) (2008)
Rui Chang, Wilfried Brauer, Martin Stetter
Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference. Neural Networks 21 (2-3) (2008)
Reinhard Schachtner, Dominik Lutter, P. Knollmüller, Ana Maria Tomé, Fabian J. Theis, Gerd Schmitz, Martin Stetter, Pedro Gómez Vilda, Elmar Wolfgang Lang
Knowledge-based gene expression classification via matrix factorization. Bioinform. 24 (15) (2008)
Markus Bundschus, Mathäus Dejori, Martin Stetter, Volker Tresp, Hans-Peter Kriegel
Extraction of semantic biomedical relations from text using conditional random fields. BMC Bioinform. 9 (2008)
Andreas Nägele, Mathäus Dejori, Martin Stetter
Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures. ECML (2007)
Rui Chang, Martin Stetter
A Knowledge-based Dynamic Bayesian Framework Towards Molecular Network Modeling and Quantitative Prediction. BIOCOMP (2007)
Rui Chang, Martin Stetter
Quantitative Bayesian Inference by Qualitative Knowledge Modeling. IJCNN (2007)
Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter
Structure Learning with Nonparametric Decomposable Models. ICANN (1) (2007)
Miruna Szabo, Martin Stetter, Gustavo Deco, Stefano Fusi, Paolo Del Giudice, Maurizio Mattia
Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task. Biol. Cybern. 94 (5) (2006)
Martin Stetter, Bernd Schürmann, Michael Hofstetter
Logical nano-computation in enzymatic reaction networks. BIONETICS (2006)
Janaina Mourão Miranda, Arun L. W. Bokde, Christine Born, Harald Hampel, Martin Stetter
Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data. NeuroImage 28 (4) (2005)
Miruna Szabo, Rita Almeida, Gustavo Deco, Martin Stetter
A neuronal model for the shaping of feature selectivity in IT by visual categorization. Neurocomputing (2005)
Martin Stetter, Elmar Wolfgang Lang
Modeling texture-constancy of cortical grating cells. Neurocomputing (2004)
Mathäus Dejori, Martin Stetter
Identifying Interventional and Pathogenic Mechanisms by Generative Inverse Modeling of Gene Expression Profiles. J. Comput. Biol. 11 (6) (2004)
Silvia Corchs, Martin Stetter, Gustavo Deco
Systems-Level Neuronal Modeling of Visual Attentional Mechanisms. Artif. Intell. Rev. 20 (1-2) (2003)
Martin Stetter, Gustavo Deco, Mathäus Dejori
Large-Scale Computational Modeling of Genetic Regulatory Networks. Artif. Intell. Rev. 20 (1-2) (2003)
Mathäus Dejori, Martin Stetter
Bayesian Inference of Genetic Networks from Gene-Expression-Data: Convergence and Reliability. IC-AI (2003)
Rita Almeida, Martin Stetter
Modeling the Link between Functional Imaging and Neuronal Activity: Synaptic Metabolic Demand and Spike Rates. NeuroImage 17 (2) (2002)
Hauke Bartsch, Martin Stetter, Klaus Obermayer
On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex. Emergent Neural Computational Architectures Based on Neuroscience (2001)
Hauke Bartsch, Martin Stetter, Klaus Obermayer
Contextual effects by short range connections in a mean-field model of V1. Neurocomputing (2001)
Ingo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer
Blind signal separation from optical imaging recordings with extended spatial decorrelation. IEEE Trans. Biomed. Eng. 47 (5) (2000)
Martin Stetter, Hauke Bartsch, Klaus Obermayer
A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex. Biol. Cybern. 82 (4) (2000)
Ingo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer
Blind Signal Separation from Optical Imaging Data. DAGM-Symposium (2000)
T. Müller, Martin Stetter, Mark Hübener, Frank Sengpiel, Tobias Bonhoeffer, I. Gödecke, Barbara Chapman, Siegrid Löwel, Klaus Obermayer
An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets. Neural Comput. 12 (11) (2000)
Hauke Bartsch, Martin Stetter, Klaus Obermayer
The influence of threshold variability on the response of visual cortical neurons. Neurocomputing (2000)
Holger Schoner, Martin Stetter, Ingo Schießl, John E. W. Mayhew, Jennifer S. Lund, Niall McLoughlin, Klaus Obermayer
Application of Blind Separation of Sources to Optical Recording of Brain Activity. NIPS (1999)
Martin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer
Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. ICONIP (1998)
K. Brunner, M. Kussinger, Martin Stetter, Elmar Wolfgang Lang
A neural network model for the emergence of grating cells. Biol. Cybern. 78 (5) (1998)
Hauke Bartsch, Martin Stetter, Klaus Obermayer
A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields. ICANN (1997)
Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer
Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17. ICANN (1997)
Martin Stetter, M. Kussinger, Armin Schels, E. Seeger, Elmar Wolfgang Lang
Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural Network. IWANN (1995)
Martin Stetter, Elmar Wolfgang Lang, A. Müller
Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networks. Biol. Cybern. 68 (5) (1993)

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Publication Activity (10 Years)

Top Topics

Top Venues

Martin Stetter