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Jesper Tegnér: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. José M. Peña, Johan Björkegren, Jesper Tegnér
    Growing Bayesian network models of gene networks from seed genes. [Citation Graph (0, 0)][DBLP]
    ECCB/JBI, 2005, pp:229- [Conf]
  2. Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
    Evaluating Feature Selection for SVMs in High Dimensions. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:719-726 [Conf]
  3. José M. Peña, Johan Björkegren, Jesper Tegnér
    Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:136-147 [Conf]
  4. Jesper Tegnér, Ádám Kepecs
    Why Neuronal Dynamics Should Control Synaptic Learning Rules. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:285-292 [Conf]
  5. Ádám Kepecs, Mark C. W. van Rossum, Sen Song, Jesper Tegnér
    Spike-timing-dependent plasticity: common themes and divergent vistas. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2002, v:87, n:5-6, pp:446-458 [Journal]
  6. Jesper Tegnér, Albert Compte, Xiao-Jing Wang
    The dynamical stability of reverberatory neural circuits. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2002, v:87, n:5-6, pp:471-481 [Journal]
  7. Kristofer Hallén, Johan Björkegren, Jesper Tegnér
    Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:51- [Journal]
  8. Jeanette Hellgren Kotaleski, Jesper Tegnér, Sten Grillner, Anders Lansner
    Control of burst proportion and frequency range by drive-dependent modulation of adaptation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:185-191 [Journal]
  9. Jesper Tegnér, Jeanette Hellgren Kotaleski
    The synaptic NMDA component desynchronizes neural bursters. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:557-563 [Journal]
  10. Jesper Tegnér, Ádám Kepecs
    An adaptive spike-timing-dependent plasticity rule. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:189-194 [Journal]
  11. Jesper Tegnér, Anders Lansner, Sten Grillner
    Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Neuroscience, 1998, v:5, n:2, pp:121-140 [Journal]
  12. José M. Peña, Johan Björkegren, Jesper Tegnér
    Learning dynamic Bayesian network models via cross-validation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:14, pp:2295-2308 [Journal]
  13. José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
    Identifying the Relevant Nodes Without Learning the Model. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]
  14. Julian Macoveanu, Torkel Klingberg, Jesper Tegnér
    Neuronal firing rates account for distractor effects on mnemonic accuracy in a visuo-spatial working memory task. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2007, v:96, n:4, pp:407-419 [Journal]
  15. José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
    Towards scalable and data efficient learning of Markov boundaries. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:45, n:2, pp:211-232 [Journal]

  16. Networks in Biology - From Identification, Analysis to Interpretation. [Citation Graph (, )][DBLP]

  17. Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. [Citation Graph (, )][DBLP]

  18. Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator. [Citation Graph (, )][DBLP]

  19. Detecting multivariate differentially expressed genes. [Citation Graph (, )][DBLP]

  20. On reliable discovery of molecular signatures. [Citation Graph (, )][DBLP]

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