Jesper Tegnér

100 papers A* 2A 4C 1Misc 1Journal 79Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence. CoRR Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh, Hector Zenil, Jesper Tegnér
2026	J	`jnl`	The future of fundamental science led by generative closed-loop artificial intelligence. Frontiers Artif. Intell. Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Jonathan E. Rowe, James A. Evans, Hiroaki Kitano, Ross D. King
2025	J	`jnl`	Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery. CoRR Yanbo Zhang, Sumeer Ahmad Khan, Adnan Mahmud, Huck Yang, Alexander Lavin, Michael Levin, Jeremy G. Frey, Jared Dunnmon, James A. Evans, Alan R. Bundy, Saso Dzeroski, Jesper Tegnér, Hector Zenil
2025	J	`jnl`	GeneSetCluster 2.0: a comprehensive toolset for summarizing and integrating gene-sets analysis. BMC Bioinform. Asier Ortega-Legarreta, Alberto Maillo, Daniel Mouzo, Ana Rosa López-Pérez, Lara Kular, Majid Pahlevan Kakhki, Maja Jagodic, Jesper Tegnér, Vincenzo Lagani, Ewoud Ewing, David Gomez-Cabrero
2025	A*	`conf`	Interpretable Causal Representation Learning for Biological Data in the Pathway Space. ICLR Jesus de la Fuente Cedeño, Robert Lehmann, Carlos Ruiz-Arenas, Jan Voges, Irene Marín-Goñi, Xabier Martinez de Morentin, David Gomez-Cabrero, Idoia Ochoa, Jesper Tegnér, Vincenzo Lagani, Mikel Hernaez
2025	J	`jnl`	Interpretable Causal Representation Learning for Biological Data in the Pathway Space. CoRR Jesus de la Fuente, Robert Lehmann, Carlos Ruiz-Arenas, Jan Voges, Irene Marín-Goñi, Xabier Martinez de Morentin, David Gomez-Cabrero, Idoia Ochoa, Jesper Tegnér, Vincenzo Lagani, Mikel Hernaez
2025	J	`jnl`	Minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification. Inf. Sci. Hector Zenil, Narsis A. Kiani, Alyssa M. Adams, Felipe S. Abrahão, Antonio Rueda-Toicen, Allan A. Zea, Luan Ozelim, Jesper Tegnér
2024	J	`jnl`	Assembly Theory Reduced to Shannon Entropy and Rendered Redundant by Naive Statistical Algorithms. CoRR Luan Ozelim, Abicumaran Uthamacumaran, Felipe S. Abrahão, Santiago Hernández-Orozco, Narsis A. Kiani, Jesper Tegnér, Hector Zenil
2024	J	`jnl`	Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution. CoRR Felipe S. Abrahão, Santiago Hernández-Orozco, Narsis A. Kiani, Jesper Tegnér, Hector Zenil
2024	J	`jnl`	ClustAll: An R package for patient stratification in complex diseases. PLoS Comput. Biol. Asier Ortega-Legarreta, Sara Palomino-Echeverria, Estefania Huergo, Vincenzo Lagani, Narsis A. Kiani, Pierre-Emmanuel Rautou, Nuria Planell-Picola, Jesper Tegnér, David Gomez-Cabrero
2024	J	`jnl`	Latent space arithmetic on data embeddings from healthy multi-tissue human RNA-seq decodes disease modules. Patterns Hendrik A. de Weerd, Dimitri Guala, Mika Gustafsson, Jane Synnergren, Jesper Tegnér, Zelmina Lubovac-Pilav, Rasmus Magnusson
2024	J	`jnl`	Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits. CoRR Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen, Hector Zenil, Jesper Tegnér
2024	J	`jnl`	T- Hop: A framework for studying the importance path information in molecular graphs for chemical property prediction. CoRR Abdulrahman Ibraheem, Narsis A. Kiani, Jesper Tegnér
2023	J	`jnl`	LIBRA: an adaptative integrative tool for paired single-cell multi-omics data. Quant. Biol. Xabier Martinez de Morentin, Sumeer Ahmad Khan, Robert Lehmann, Sally Sisi Qu, Alberto Maillo, Narsis A. Kiani, Felipe Prósper, Jesper Tegnér, David Gomez-Cabrero
2023	J	`jnl`	Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers. Nat. Mac. Intell. Sumeer Ahmad Khan, Alberto Maillo, Vincenzo Lagani, Robert Lehmann, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér
2023	J	`jnl`	The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jonathan E. Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King
2023	A*	`conf`	Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. EMNLP Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér
2022	J	`jnl`	Approximations of algorithmic and structural complexity validate cognitive-behavioral experimental results. Frontiers Comput. Neurosci. Hector Zenil, James A. R. Marshall, Jesper Tegnér
2022	A	`conf`	Non-local Attention Improves Description Generation for Retinal Images. WACV Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnér, Marcel Worring
2021	A	`conf`	DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. WACV Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring
2021	J	`jnl`	DeepViral: prediction of novel virus-host interactions from protein sequences and infectious disease phenotypes. Bioinform. Wang Liu-Wei, Senay Kafkas, Jun Chen, Nicholas J. Dimonaco, Jesper Tegnér, Robert Hoehndorf
2021	—	`conf`	VLG-Net: Video-Language Graph Matching Network for Video Grounding. ICCVW Mattia Soldan, Mengmeng Xu, Sally Sisi Qu, Jesper Tegnér, Bernard Ghanem
2020	J	`jnl`	Algorithmic Information Dynamics. Scholarpedia Hector Zenil, Narsis Aftab Kiani, Felipe S. Abrahão, Jesper Tegnér
2020	J	`jnl`	Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces. Frontiers Artif. Intell. Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis Aftab Kiani, Jesper Tegnér
2020	J	`jnl`	DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. CoRR Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring
2020	Misc	`conf`	Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. ICASSP Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai
2020	J	`jnl`	VLG-Net: Video-Language Graph Matching Network for Video Grounding. CoRR Sally Sisi Qu, Mattia Soldan, Mengmeng Xu, Jesper Tegnér, Bernard Ghanem
2019	—	`ch.`	Algorithmic Information Dynamics of Emergent, Persistent, and Colliding Particles in the Game of Life. From Parallel to Emergent Computing Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2019	J	`jnl`	Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces. CoRR Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis Aftab Kiani, Jesper Tegnér
2019	J	`jnl`	Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps. PLoS Comput. Biol. Camden Jansen, Ricardo N. Ramirez, Nicole C. El-Ali, David Gomez-Cabrero, Jesper Tegnér, Matthias Merkenschlager, Ana Conesa, Ali Mortazavi
2019	J	`jnl`	Causal deconvolution by algorithmic generative models. Nat. Mach. Intell. Hector Zenil, Narsis Aftab Kiani, Allan A. Zea, Jesper Tegnér
2019	J	`jnl`	Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. CoRR Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai
2019	J	`jnl`	Synthesizing New Retinal Symptom Images by Multiple Generative Models. CoRR Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yichang James Tsai, Jesper Tegnér
2019	J	`jnl`	The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum Entropy. Entropy Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2018	J	`jnl`	A Decomposition Method for Global Evaluation of Shannon Entropy and Local Estimations of Algorithmic Complexity. Entropy Hector Zenil, Santiago Hernández-Orozco, Narsis Aftab Kiani, Fernando Soler-Toscano, Antonio Rueda-Toicen, Jesper Tegnér
2018	J	`jnl`	A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. CoRR Chao-Han Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegnér
2018	J	`jnl`	A Review of Graph and Network Complexity from an Algorithmic Information Perspective. Entropy Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2018	J	`jnl`	Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism. CoRR Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2018	J	`jnl`	Algorithmic Complexity and Reprogrammability of Chemical Structure Networks. CoRR Hector Zenil, Narsis Aftab Kiani, Ming-Mei Shang, Jesper Tegnér
2018	J	`jnl`	Algorithmic Complexity and Reprogrammability of Chemical Structure Networks. Parallel Process. Lett. Hector Zenil, Narsis Aftab Kiani, Ming-Mei Shang, Jesper Tegnér
2018	J	`jnl`	Algorithmic Information Dynamics of Persistent Patterns and Colliding Particles in the Game of Life. CoRR Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2018	J	`jnl`	An Algorithmic Refinement of Maxent Induces a Thermodynamic-like Behaviour in the Reprogrammability of Generative Mechanisms. CoRR Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2018	J	`jnl`	Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. CoRR Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér
2018	—	`conf`	Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. ACCV Workshops Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér
2018	J	`jnl`	Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning. CoRR Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen, Víctor M. Eguíluz, Narsis Aftab Kiani, Hector Zenil, David Gomez-Cabrero, Jesper Tegnér
2018	J	`jnl`	Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics. CoRR Chao-Han Huck Yang, Rise Ooi, Tom Hiscock, Víctor M. Eguíluz, Jesper Tegnér
2018	J	`jnl`	Parameter-free Network Sparsification and Data Reduction by Minimal Algorithmic Information Loss. CoRR Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2018	J	`jnl`	Symmetry and Algorithmic Complexity of Polyominoes and Polyhedral Graphs. CoRR Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2018	J	`jnl`	Symmetry and Correspondence of Algorithmic Complexity over Geometric, Spatial and Topological Representations. Entropy Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2018	—	`conf`	Synthesizing New Retinal Symptom Images by Multiple Generative Models. ACCV Workshops Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnér
2017	J	`jnl`	An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems. CoRR Hector Zenil, Narsis Aftab Kiani, Francesco Marabita, Yue Deng, Szabolcs Elias, Angelika Schmidt, Gordon Ball, Jesper Tegnér
2017	J	`jnl`	Dynamics and heterogeneity of brain damage in multiple sclerosis. PLoS Comput. Biol. Ekaterina Kotelnikova, Narsis Aftab Kiani, Elena Abad, Elena H. Martinez-Lapiscina, Magí Andorrà, Irati Zubizarreta, Irene Pulido-Valdeolivas, Inna Pertsovskaya, Leonidas G. Alexopoulos, Tomas Olsson, Roland Martin, Friedemann Paul, Jesper Tegnér, Jordi García-Ojalvo, Pablo Villoslada
2017	J	`jnl`	HiDi: an efficient reverse engineering schema for large-scale dynamic regulatory network reconstruction using adaptive differentiation. Bioinform. Yue Deng, Hector Zenil, Jesper Tegnér, Narsis Aftab Kiani
2017	J	`jnl`	SCENERY: a web application for (causal) network reconstruction from cytometry data. Nucleic Acids Res. Giorgos Papoutsoglou, Giorgos Athineou, Vincenzo Lagani, Iordanis Xanthopoulos, Angelika Schmidt, Szabolcs Elias, Jesper Tegnér, Ioannis Tsamardinos
2016	J	`jnl`	A Decomposition Method for Global Evaluation of Shannon Entropy and Local Estimations of Algorithmic Complexity. CoRR Hector Zenil, Fernando Soler-Toscano, Narsis Aftab Kiani, Santiago Hernández-Orozco, Antonio Rueda-Toicen, Jesper Tegnér
2016	J	`jnl`	From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration. BMC Bioinform. David Gomez-Cabrero, Jörg Menche, Claudia Vargas, Isaac Cano, Dieter Maier, Albert-László Barabási, Jesper Tegnér, Josep Roca
2016	J	`jnl`	Normalization of circulating microRNA expression data obtained by quantitative real-time RT-PCR. Briefings Bioinform. Francesco Marabita, Paola de Candia, Anna Torri, Jesper Tegnér, Sergio Abrignani, Riccardo L. Rossi
2016	J	`jnl`	Quantifying loss of information in network-based dimensionality reduction techniques. J. Complex Networks Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2015	J	`jnl`	Approximations of Algorithmic and Structural Complexity Validate Cognitive-behavioural Experimental Results. CoRR Hector Zenil, James A. R. Marshall, Jesper Tegnér
2015	J	`jnl`	Causality, Programmability and Information Biology. CoRR Héctor Zenil, Angelika Schmidt, Jesper Tegnér
2015	J	`jnl`	Evaluating Network Inference Methods in Terms of Their Ability to Preserve the Topology and Complexity of Genetic Networks. CoRR Narsis Aftab Kiani, Hector Zenil, Jakub Olczak, Jesper Tegnér
2015	—	`conf`	Numerical Investigation of Graph Spectra and Information Interpretability of Eigenvalues. IWBBIO (2) Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2015	J	`jnl`	Numerical Investigation of Graph Spectra and Information Interpretability of Eigenvalues. CoRR Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2015	J	`jnl`	Quantifying Loss of Information in Network-based Dimensionality Reduction Techniques. CoRR Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2015	J	`jnl`	The Information-theoretic and Algorithmic Approach to Human, Animal and Artificial Cognition. CoRR Nicolas Gauvrit, Hector Zenil, Jesper Tegnér
2015	—	`conf`	Topological Evaluation of Methods for Reconstruction of Genetic Regulatory Networks. SITIS Jakub Olczak, Narsis Aftab Kiani, Hector Zenil, Jesper Tegnér
2014	J	`jnl`	Data integration in the era of omics: current and future challenges. BMC Syst. Biol. David Gomez-Cabrero, Imad Abugessaisa, Dieter Maier, Andrew E. Teschendorff, Matthias Merkenschlager, Andreas Gisel, Esteban Ballestar, Erik Bongcam-Rudloff, Ana Conesa, Jesper Tegnér
2014	J	`jnl`	STATegra EMS: an Experiment Management System for complex next-generation omics experiments. BMC Syst. Biol. Rafael Hernández-de-Diego, Noemi Boix-Chova, David Gomez-Cabrero, Jesper Tegnér, Imad Abugessaisa, Ana Conesa
2013	J	`jnl`	A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinform. Andrew E. Teschendorff, Francesco Marabita, Matthias Lechner, Thomas E. Bartlett, Jesper Tegnér, David Gomez-Cabrero, Stephan Beck
2013	—	`conf`	Algorithmic complexity of motifs clusters superfamilies of networks. BIBM Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
2013	—	`conf`	Testing Biological Models for Non-linear Sensitivity with a Programmability Test. ECAL Hector Zenil, Gordon Ball, Jesper Tegnér
2012	J	`jnl`	Identifying the Relevant Nodes Without Learning the Model. CoRR José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
2011	J	`jnl`	Decoding complex biological networks - tracing essential and modulatory parameters in complex and simplified models of the cell cycle. BMC Syst. Biol. Olivia Eriksson, Tom Andersson, Yishao Zhou, Jesper Tegnér
2011	J	`jnl`	ParkDB: a Parkinson's disease gene expression database. Database J. Biol. Databases Curation Cristian Taccioli, Vincenza Maselli, Jesper Tegnér, David Gomez-Cabrero, Gioia Altobelli, Warren Emmett, Francesco Lescai, Stefano Gustincich, Elia Stupka
2009	J	`jnl`	An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. J. Mach. Learn. Res. José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
2009	J	`jnl`	Computational disease modeling - fact or fiction? BMC Syst. Biol. Jesper Tegnér, Albert Compte, Charles Auffray, Gary An, Gunnar Cedersund, Gilles Clermont, Boris S. Gutkin, Zoltán N. Oltvai, Klaas Enno Stephan, Randy Thomas, Pablo Villoslada
2009	J	`jnl`	On reliable discovery of molecular signatures. BMC Bioinform. Roland Nilsson, Johan Björkegren, Jesper Tegnér
2008	J	`jnl`	Electrotonic Signals along Intracellular Membranes May Interconnect Dendritic Spines and Nucleus. PLoS Comput. Biol. Isaac Shemer, Björn Brinne, Jesper Tegnér, Sten Grillner
2008	A	`conf`	Networks in Biology - From Identification, Analysis to Interpretation. GD Jesper Tegnér
2007	J	`jnl`	Consistent Feature Selection for Pattern Recognition in Polynomial Time. J. Mach. Learn. Res. Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
2007	J	`jnl`	Detecting multivariate differentially expressed genes. BMC Bioinform. Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
2007	J	`jnl`	Neuronal firing rates account for distractor effects on mnemonic accuracy in a visuo-spatial working memory task. Biol. Cybern. Julian Macoveanu, Torkel Klingberg, Jesper Tegnér
2007	J	`jnl`	Stronger Synaptic Connectivity as a Mechanism behind Development of Working Memory-related Brain Activity during Childhood. J. Cogn. Neurosci. Fredrik Edin, Julian Macoveanu, Pernille Olesen, Jesper Tegnér, Torkel Klingberg
2007	J	`jnl`	Towards scalable and data efficient learning of Markov boundaries. Int. J. Approx. Reason. José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
2006	J	`jnl`	Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations. BMC Bioinform. Kristofer Hallén, Johan Björkegren, Jesper Tegnér
2006	—	`conf`	Evaluating Feature Selection for SVMs in High Dimensions. ECML Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
2006	A	`conf`	Identifying the Relevant Nodes Without Learning the Model. UAI José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
2006	—	`conf`	Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. Probabilistic Graphical Models José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
2005	—	`conf`	Growing Bayesian network models of gene networks from seed genes. ECCB/JBI José M. Peña, Johan Björkegren, Jesper Tegnér
2005	J	`jnl`	Learning dynamic Bayesian network models via cross-validation. Pattern Recognit. Lett. José M. Peña, Johan Björkegren, Jesper Tegnér
2005	C	`conf`	Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption. ECSQARU José M. Peña, Johan Björkegren, Jesper Tegnér
2004	—	`conf`	Modeling complex cellular networks - robust switching in the cell cycle ensures a piecewise linear reduction of the regulatory network. CDC Olivia Eriksson, Yishao Zhou, Jesper Tegnér
2002	J	`jnl`	An adaptive spike-timing-dependent plasticity rule. Neurocomputing Jesper Tegnér, Ádám Kepecs
2002	J	`jnl`	Spike-timing-dependent plasticity: common themes and divergent vistas. Biol. Cybern. Ádám Kepecs, Mark C. W. van Rossum, Sen Song, Jesper Tegnér
2002	J	`jnl`	The dynamical stability of reverberatory neural circuits. Biol. Cybern. Jesper Tegnér, Albert Compte, Xiao-Jing Wang
2001	—	`conf`	Why Neuronal Dynamics Should Control Synaptic Learning Rules. NIPS Jesper Tegnér, Ádám Kepecs
1999	J	`jnl`	Control of burst proportion and frequency range by drive-dependent modulation of adaptation. Neurocomputing Jeanette Hellgren Kotaleski, Jesper Tegnér, Sten Grillner, Anders Lansner
1999	J	`jnl`	The synaptic NMDA component desynchronizes neural bursters. Neurocomputing Jesper Tegnér, Jeanette Hellgren Kotaleski
1998	J	`jnl`	Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator. Biol. Cybern. M. Ullström, Jeanette Hellgren Kotaleski, Jesper Tegnér, Erik Aurell, Sten Grillner, Anders Lansner
1998	J	`jnl`	Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level. J. Comput. Neurosci. Jesper Tegnér, Anders Lansner, Sten Grillner