2008 |
17 | EE | Jesper Tegnér:
Networks in Biology - From Identification, Analysis to Interpretation.
Graph Drawing 2008: 1 |
2007 |
16 | EE | Julian Macoveanu,
Torkel Klingberg,
Jesper Tegnér:
Neuronal firing rates account for distractor effects on mnemonic accuracy in a visuo-spatial working memory task.
Biological Cybernetics 96(4): 407-419 (2007) |
15 | EE | José M. Peña,
Roland Nilsson,
Johan Björkegren,
Jesper Tegnér:
Towards scalable and data efficient learning of Markov boundaries.
Int. J. Approx. Reasoning 45(2): 211-232 (2007) |
2006 |
14 | EE | Roland Nilsson,
José M. Peña,
Johan Björkegren,
Jesper Tegnér:
Evaluating Feature Selection for SVMs in High Dimensions.
ECML 2006: 719-726 |
13 | EE | José M. Peña,
Roland Nilsson,
Johan Björkegren,
Jesper Tegnér:
Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity.
Probabilistic Graphical Models 2006: 247-254 |
12 | EE | José M. Peña,
Roland Nilsson,
Johan Björkegren,
Jesper Tegnér:
Identifying the Relevant Nodes Without Learning the Model.
UAI 2006 |
11 | EE | Kristofer Hallén,
Johan Björkegren,
Jesper Tegnér:
Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations.
BMC Bioinformatics 7: 51 (2006) |
2005 |
10 | EE | José M. Peña,
Johan Björkegren,
Jesper Tegnér:
Growing Bayesian network models of gene networks from seed genes.
ECCB/JBI 2005: 229 |
9 | EE | José M. Peña,
Johan Björkegren,
Jesper Tegnér:
Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption.
ECSQARU 2005: 136-147 |
8 | EE | José M. Peña,
Johan Björkegren,
Jesper Tegnér:
Learning dynamic Bayesian network models via cross-validation.
Pattern Recognition Letters 26(14): 2295-2308 (2005) |
2002 |
7 | EE | Ádám Kepecs,
Mark C. W. van Rossum,
Sen Song,
Jesper Tegnér:
Spike-timing-dependent plasticity: common themes and divergent vistas.
Biological Cybernetics 87(5-6): 446-458 (2002) |
6 | EE | Jesper Tegnér,
Albert Compte,
Xiao-Jing Wang:
The dynamical stability of reverberatory neural circuits.
Biological Cybernetics 87(5-6): 471-481 (2002) |
5 | EE | Jesper Tegnér,
Ádám Kepecs:
An adaptive spike-timing-dependent plasticity rule.
Neurocomputing 44-46: 189-194 (2002) |
2001 |
4 | EE | Jesper Tegnér,
Ádám Kepecs:
Why Neuronal Dynamics Should Control Synaptic Learning Rules.
NIPS 2001: 285-292 |
1999 |
3 | EE | Jeanette Hellgren Kotaleski,
Jesper Tegnér,
Sten Grillner,
Anders Lansner:
Control of burst proportion and frequency range by drive-dependent modulation of adaptation.
Neurocomputing 26-27: 185-191 (1999) |
2 | EE | Jesper Tegnér,
Jeanette Hellgren Kotaleski:
The synaptic NMDA component desynchronizes neural bursters.
Neurocomputing 26-27: 557-563 (1999) |
1998 |
1 | | 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.
Journal of Computational Neuroscience 5(2): 121-140 (1998) |