Martin Stetter - researchr alias

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Viewing Publication 1 - 39 from 39

2021

Learning Intuitive Physics and One-Shot Imitation Using State-Action-Prediction Self-Organizing MapsMartin Stetter, Elmar Wolfgang Lang. cin, 2021, 2021. [doi]

2014

Physarum Learner: A bio-inspired way of learning structure from dataTorsten Schön, Martin Stetter, Ana Maria Tomé, Carlos García Puntonet, Elmar Wolfgang Lang. eswa, 41(11):5353-5370, 2014. [doi]

2013

A New Physarum Learner for Network Structure Learning from Biomedical DataTorsten Schön, Martin Stetter, Ana Maria Tomé, Elmar Wolfgang Lang. biostec 2013: 151-156

2012

Structure Learning for Bayesian Networks Using the Physarum SolverTorsten Schön, Martin Stetter, Elmar Wolfgang Lang. icmla 2012: 488-493 [doi]

2008

2007

2006

Logical nano-computation in enzymatic reaction networksMartin Stetter, Bernd Schürmann, Michael Hofstetter. BIONETICS 2011: 7 [doi]

Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization TaskMiruna Szabo, Martin Stetter, Gustavo Deco, Stefano Fusi, Paolo Del Giudice, Maurizio Mattia. bc, 94(5):351-365, 2006. [doi]

2005

Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI dataJanaina Mourão Miranda, Arun L. W. Bokde, Christine Born, Harald Hampel, Martin Stetter. neuroimage, 28(4):980-995, 2005. [doi]

A neuronal model for the shaping of feature selectivity in IT by visual categorizationMiruna Szabo, R. Almeida, Gustavo Deco, Martin Stetter. ijon, 65-66:195-201, 2005. [doi]

2004

Identifying Interventional and Pathogenic Mechanisms by Generative Inverse Modeling of Gene Expression ProfilesMathäus Dejori, Martin Stetter. jcb, 11(6):1135-1148, 2004. [doi]

Computational Neuroscience for Cognitive Brain FunctionsMarco Loh, Miruna Szabo, Rita Almeida, Martin Stetter, Gustavo Deco. In Werner Dubitzky, Francisco Azuaje, editors, Artificial Intelligence Methods And Tools For Systems Biology. Volume 5 of Computational Biology, pages 197-215, Springer, 2004. [doi]

Modeling texture-constancy of cortical grating cellsMartin Stetter, Elmar Wolfgang Lang. ijon, 58-60:835-841, 2004. [doi]

Systems Level Modeling of Gene Regulatory NetworksMartin Stetter, Bernd Schürmann, Mathäus Dejori. In Werner Dubitzky, Francisco Azuaje, editors, Artificial Intelligence Methods And Tools For Systems Biology. Volume 5 of Computational Biology, pages 175-195, Springer, 2004. [doi]

2003

Systems-Level Neuronal Modeling of Visual Attentional MechanismsSilvia Corchs, Martin Stetter, Gustavo Deco. air, 20(1-2):143-160, 2003. [doi]

Bayesian Inference of Genetic Networks from Gene-Expression-Data: Convergence and ReliabilityMathäus Dejori, Martin Stetter. icai 2003: 323-327

Large-Scale Computational Modeling of Genetic Regulatory NetworksMartin Stetter, Gustavo Deco, Mathäus Dejori. air, 20(1-2):75-93, 2003. [doi]

2002

Modeling the Link between Functional Imaging and Neuronal Activity: Synaptic Metabolic Demand and Spike RatesRita Almeida, Martin Stetter. neuroimage, 17(2):1065-1079, 2002. [doi]

2001

Contextual effects by short range connections in a mean-field model of V1Hauke Bartsch, Martin Stetter, Klaus Obermayer. ijon, 38-40:475-481, 2001. [doi]

On the Influence of Threshold Variability in a Mean-Field Model of the Visual CortexHauke Bartsch, Martin Stetter, Klaus Obermayer. neuroscience 2001: 174-187 [doi]

2000

The influence of threshold variability on the response of visual cortical neuronsHauke Bartsch, Martin Stetter, Klaus Obermayer. ijon, 32-33:37-43, 2000. [doi]

An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and FerretsT. Müller, Martin Stetter, Mark Hübener, F. Sengpiel, Tobias Bonhoeffer, I. Gödecke, B. Chapman, Siegrid Löwel, Klaus Obermayer. neco, 12(11):2573-2595, 2000.

Blind signal separation from optical imaging recordings with extended spatial decorrelationIngo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer. tbe, 47(5):573-577, 2000. [doi]

Blind Signal Separation from Optical Imaging DataIngo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer. dagm 2000: 91-98

A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortexMartin Stetter, Hauke Bartsch, Klaus Obermayer. bc, 82(4):291-304, 2000. [doi]

1999

Application of Blind Separation of Sources to Optical Recording of Brain ActivityHolger Schoner, Martin Stetter, Ingo Schießl, John E. W. Mayhew, Jennifer S. Lund, Niall McLoughlin, Klaus Obermayer. nips 2000: 949-955 [doi]

1998

A neural network model for the emergence of grating cellsK. Brunner, M. Kussinger, Martin Stetter, Elmar Wolfgang Lang. bc, 78(5):389-397, 1998. [doi]

Modelling Contrast Adaptation and Contextual Effects in Primary Visual CortexMartin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer. iconip 1998: 669-672

1997

A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive FieldsHauke Bartsch, Martin Stetter, Klaus Obermayer. icann 1997: 237-242

Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer. icann 1997: 189-194

1995

Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural NetworkMartin Stetter, M. Kussinger, A. Schels, E. Seeger, Elmar Wolfgang Lang. iwann 1995: 37-44

1994

Selbstorganisation funktioneller Strukturen im primären visuellen Kortex: ein neuronales Netzwerk als Modell aktivitätsabhängiger ReifungsprozesseMartin Stetter. PhD thesis, University of Regensburg, Germany, 1994. [doi]

1993

Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networksMartin Stetter, Elmar Wolfgang Lang, A. MÃ¼ller. bc, 68(5):465-476, 1993. [doi]

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