The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
Martin Stetter: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ingo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer
    Blind Signal Separation from Optical Imaging Data. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2000, pp:91-98 [Conf]
  2. Mathäus Dejori, Martin Stetter
    Bayesian Inference of Genetic Networks from Gene-Expression-Data: Convergence and Reliability. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2003, pp:323-327 [Conf]
  3. Hauke Bartsch, Martin Stetter, Klaus Obermayer
    A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:237-242 [Conf]
  4. Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer
    Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:189-194 [Conf]
  5. Martin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer
    Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:669-672 [Conf]
  6. 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. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:37-44 [Conf]
  7. Hauke Bartsch, Martin Stetter, Klaus Obermayer
    On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:174-187 [Conf]
  8. 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. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:949-955 [Conf]
  9. Silvia Corchs, Martin Stetter, Gustavo Deco
    Systems-Level Neuronal Modeling of Visual Attentional Mechanisms. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 2003, v:20, n:1-2, pp:143-160 [Journal]
  10. Martin Stetter, Gustavo Deco, Mathäus Dejori
    Large-Scale Computational Modeling of Genetic Regulatory Networks. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 2003, v:20, n:1-2, pp:75-93 [Journal]
  11. 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. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2006, v:94, n:5, pp:351-365 [Journal]
  12. Hauke Bartsch, Martin Stetter, Klaus Obermayer
    The influence of threshold variability on the response of visual cortical neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:37-43 [Journal]
  13. Hauke Bartsch, Martin Stetter, Klaus Obermayer
    Contextual effects by short range connections in a mean-field model of V1. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:475-481 [Journal]
  14. Miruna Szabo, R. Almeida, Gustavo Deco, Martin Stetter
    A neuronal model for the shaping of feature selectivity in IT by visual categorization. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:195-201 [Journal]
  15. Mathäus Dejori, Martin Stetter
    Identifying Interventional and Pathogenic Mechanisms by Generative Inverse Modeling of Gene Expression Profiles. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2004, v:11, n:6, pp:1135-1148 [Journal]
  16. 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. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:11, pp:2573-2595 [Journal]
  17. Andreas Nägele, Mathäus Dejori, Martin Stetter
    Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:238-249 [Conf]
  18. Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter
    Structure Learning with Nonparametric Decomposable Models. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:119-128 [Conf]

  19. A Knowledge-based Dynamic Bayesian Framework Towards Molecular Network Modeling and Quantitative Prediction. [Citation Graph (, )][DBLP]


  20. Quantitative Bayesian Inference by Qualitative Knowledge Modeling. [Citation Graph (, )][DBLP]


  21. A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex. [Citation Graph (, )][DBLP]


  22. A neural network model for the emergence of grating cells. [Citation Graph (, )][DBLP]


  23. Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networks. [Citation Graph (, )][DBLP]


  24. Knowledge-based gene expression classification via matrix factorization. [Citation Graph (, )][DBLP]


  25. Extraction of semantic biomedical relations from text using conditional random fields. [Citation Graph (, )][DBLP]


Search in 0.002secs, Finished in 0.325secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002