Martin Stetter

2008
23	EE	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. Bioinformatics 24(15): 1688-1697 (2008)
22	EE	Rui Chang, Martin Stetter, Wilfried Brauer: Quantitative Inference by Qualitative Semantic Knowledge Mining with Bayesian Model Averaging. IEEE Trans. Knowl. Data Eng. 20(12): 1587-1600 (2008)
21	EE	Rui Chang, Wilfried Brauer, Martin Stetter: Modeling semantics of inconsistent qualitative knowledge for quantitative Bayesian network inference. Neural Networks 21(2-3): 182-192 (2008)
2007
20		Rui Chang, Martin Stetter: A Knowledge-based Dynamic Bayesian Framework Towards Molecular Network Modeling and Quantitative Prediction. BIOCOMP 2007: 37-43
19	EE	Andreas Nägele, Mathäus Dejori, Martin Stetter: Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures. ECML 2007: 238-249
18	EE	Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter: Structure Learning with Nonparametric Decomposable Models. ICANN (1) 2007: 119-128
17	EE	Rui Chang, Martin Stetter: Quantitative Bayesian Inference by Qualitative Knowledge Modeling. IJCNN 2007: 2563-2568
2006
16	EE	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. Biological Cybernetics 94(5): 351-365 (2006)
2005
15	EE	Miruna Szabo, R. Almeida, Gustavo Deco, Martin Stetter: A neuronal model for the shaping of feature selectivity in IT by visual categorization. Neurocomputing 65-66: 195-201 (2005)
2004
14	EE	Mathäus Dejori, Martin Stetter: Identifying Interventional and Pathogenic Mechanisms by Generative Inverse Modeling of Gene Expression Profiles. Journal of Computational Biology 11(6): 1135-1148 (2004)
2003
13		Mathäus Dejori, Martin Stetter: Bayesian Inference of Genetic Networks from Gene-Expression-Data: Convergence and Reliability. IC-AI 2003: 323-327
12	EE	Silvia Corchs, Martin Stetter, Gustavo Deco: Systems-Level Neuronal Modeling of Visual Attentional Mechanisms. Artif. Intell. Rev. 20(1-2): 143-160 (2003)
11	EE	Martin Stetter, Gustavo Deco, Mathäus Dejori: Large-Scale Computational Modeling of Genetic Regulatory Networks. Artif. Intell. Rev. 20(1-2): 75-93 (2003)
2001
10	EE	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: 174-187
9	EE	Hauke Bartsch, Martin Stetter, Klaus Obermayer: Contextual effects by short range connections in a mean-field model of V1. Neurocomputing 38-40: 475-481 (2001)
2000
8		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: 91-98
7		T. Müller, Martin Stetter, Mark Hübener, F. Sengpiel, Tobias Bonhoeffer, I. Gödecke, B. Chapman, Siegrid Löwel, Klaus Obermayer: An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets. Neural Computation 12(11): 2573-2595 (2000)
6	EE	Hauke Bartsch, Martin Stetter, Klaus Obermayer: The influence of threshold variability on the response of visual cortical neurons. Neurocomputing 32-33: 37-43 (2000)
1999
5	EE	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: 949-955
1998
4		Martin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer: Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. ICONIP 1998: 669-672
1997
3		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: 189-194
2		Hauke Bartsch, Martin Stetter, Klaus Obermayer: A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields. ICANN 1997: 237-242
1995
1		Martin Stetter, M. Kussinger, A. Schels, E. Seeger, Elmar Wolfgang Lang: Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural Network. IWANN 1995: 37-44

Coauthor Index

1	Péter Adorján	[4]
2	R. Almeida	[15]
3	Hauke Bartsch	[2] [4] [6] [9] [10]
4	Tobias Bonhoeffer	[7]
5	Wilfried Brauer	[21] [22]
6	Rui Chang	[17] [20] [21] [22]
7	B. Chapman	[7]
8	Silvia Corchs	[12]
9	Gustavo Deco	[11] [12] [15] [16]
10	Mathäus Dejori	[11] [13] [14] [18] [19]
11	Stefano Fusi	[16]
12	Paolo Del Giudice	[16]
13	I. Gödecke	[7]
14	Mark Hübener	[7]
15	P. Knollmüller	[23]
16	M. Kussinger	[1]
17	Elmar Wolfgang Lang	[1] [3] [23]
18	Siegrid Löwel	[7]
19	Jennifer S. Lund	[5] [8]
20	Dominik Lutter	[23]
21	Maurizio Mattia	[16]
22	John E. W. Mayhew	[5] [8]
23	Niall McLoughlin	[5] [8]
24	T. Müller	[7]
25	Andreas Nägele	[19]
26	Klaus Obermayer	[2] [3] [4] [5] [6] [7] [8] [9] [10]
27	Reinhard Schachtner	[23]
28	A. Schels	[1]
29	Ingo Schießl	[5] [8]
30	Gerd Schmitz	[23]
31	Holger Schoner	[5]
32	Anton Schwaighofer	[18]
33	E. Seeger	[1]
34	F. Sengpiel	[7]
35	Miruna Szabo	[15] [16]
36	Fabian J. Theis	[23]
37	Ana Maria Tomé	[23]
38	Volker Tresp	[18]
39	Pedro Gómez Vilda	[23]