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2020 – today
- 2024
[j44]Hendrik A. de Weerd, Dimitri Guala, Mika Gustafsson, Jane Synnergren, Jesper Tegnér, Zelmina Lubovac-Pilav, Rasmus Magnusson
:
Latent space arithmetic on data embeddings from healthy multi-tissue human RNA-seq decodes disease modules. Patterns 5(11): 101093 (2024)- [i30]Felipe S. Abrahão, Santiago Hernández-Orozco, Narsis A. Kiani, Jesper Tegnér, Hector Zenil:
Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution. CoRR abs/2403.06629 (2024) - [i29]Abdulrahman Ibraheem, Narsis A. Kiani, Jesper Tegnér:
T- Hop: A framework for studying the importance path information in molecular graphs for chemical property prediction. CoRR abs/2407.14270 (2024) - [i28]Luan Ozelim, Abicumaran Uthamacumaran, Felipe S. Abrahão, Santiago Hernández-Orozco, Narsis A. Kiani, Jesper Tegnér, Hector Zenil:
Assembly Theory Reduced to Shannon Entropy and Rendered Redundant by Naive Statistical Algorithms. CoRR abs/2408.15108 (2024) - 2023
- [j43]Jesper N. Tegnér:
Translating single-cell genomics into cell types. Nat. Mac. Intell. 5(1): 11-12 (2023) - [j42]Sumeer Ahmad Khan, Alberto Maillo, Vincenzo Lagani, Robert Lehmann, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér:
Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers. Nat. Mac. Intell. 5(12): 1437-1446 (2023) - [j41]Xabier Martinez-de-morentin, Sumeer Ahmad Khan, Robert Lehmann, Sally Sisi Qu, Alberto Maillo, Narsis A. Kiani, Felipe Prósper, Jesper Tegnér, David Gomez-Cabrero:
LIBRA: an adaptative integrative tool for paired single-cell multi-omics data. Quant. Biol. 11(3): 246-259 (2023) - [c21]Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér:
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. EMNLP 2023: 10007-10016 - [c20]Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Narsis A. Kiani, David Gomez-Cabrero, Jesper N. Tegnér:
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model. INTERSPEECH 2023: 1958-1962 - [i27]Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Narsis Aftab Kiani, David Gomez-Cabrero, Jesper N. Tegnér:
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model. CoRR abs/2305.11244 (2023) - [i26]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, Jon Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King:
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR abs/2307.07522 (2023) - [i25]Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani, David Gomez-Cabrero, Jesper N. Tegnér:
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. CoRR abs/2310.06434 (2023) - 2022
- [j40]Hector Zenil, James A. R. Marshall, Jesper Tegnér:
Approximations of algorithmic and structural complexity validate cognitive-behavioral experimental results. Frontiers Comput. Neurosci. 16 (2022) - [c19]Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnér, Marcel Worring:
Non-local Attention Improves Description Generation for Retinal Images. WACV 2022: 3250-3259 - 2021
- [j39]Wang Liu-Wei, Senay Kafkas, Jun Chen, Nicholas J. Dimonaco, Jesper Tegnér, Robert Hoehndorf:
DeepViral: prediction of novel virus-host interactions from protein sequences and infectious disease phenotypes. Bioinform. 37(17): 2722-2729 (2021) - [c18]Mattia Soldan, Mengmeng Xu, Sally Sisi Qu, Jesper Tegnér, Bernard Ghanem:
VLG-Net: Video-Language Graph Matching Network for Video Grounding. ICCVW 2021: 3217-3227 - [c17]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:
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. WACV 2021: 2441-2451 - 2020
- [j38]Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis Aftab Kiani, Jesper Tegnér:
Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces. Frontiers Artif. Intell. 3: 567356 (2020) - [j37]Hector Zenil, Narsis Aftab Kiani, Felipe S. Abrahão, Jesper Tegnér:
Algorithmic Information Dynamics. Scholarpedia 15(7): 53143 (2020) - [c16]Haoling Zhang, Chao-Han Huck Yang, Hector Zenil, Narsis Aftab Kiani, Yue Shen, Jesper N. Tegnér:
Evolving Neural Networks through a Reverse Encoding Tree. CEC 2020: 1-10 - [c15]Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai:
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. ICASSP 2020: 2338-2342 - [i24]Haoling Zhang, Chao-Han Huck Yang, Hector Zenil, Narsis Aftab Kiani, Yue Shen, Jesper N. Tegnér:
Evolving Neural Networks through a Reverse Encoding Tree. CoRR abs/2002.00539 (2020) - [i23]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:
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. CoRR abs/2011.00569 (2020) - [i22]Sally Sisi Qu, Mattia Soldan, Mengmeng Xu, Jesper Tegnér, Bernard Ghanem:
VLG-Net: Video-Language Graph Matching Network for Video Grounding. CoRR abs/2011.10132 (2020)
2010 – 2019
- 2019
- [j36]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum Entropy. Entropy 21(6): 560 (2019) - [j35]Hector Zenil, Narsis Aftab Kiani, Allan A. Zea, Jesper Tegnér:
Causal deconvolution by algorithmic generative models. Nat. Mach. Intell. 1(1): 58-66 (2019) - [j34]Camden Jansen, Ricardo N. Ramirez, Nicole C. El-Ali, David Gomez-Cabrero, Jesper Tegnér, Matthias Merkenschlager, Ana Conesa, Ali Mortazavi:
Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps. PLoS Comput. Biol. 15(11) (2019) - [p1]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Algorithmic Information Dynamics of Emergent, Persistent, and Colliding Particles in the Game of Life. From Parallel to Emergent Computing 2019: 367-384 - [i21]Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yichang James Tsai, Jesper Tegnér:
Synthesizing New Retinal Symptom Images by Multiple Generative Models. CoRR abs/1902.04147 (2019) - [i20]Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis Aftab Kiani, Jesper Tegnér:
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces. CoRR abs/1910.02758 (2019) - [i19]Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai:
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. CoRR abs/1911.02172 (2019) - 2018
- [j33]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Symmetry and Correspondence of Algorithmic Complexity over Geometric, Spatial and Topological Representations. Entropy 20(7): 534 (2018) - [j32]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
A Review of Graph and Network Complexity from an Algorithmic Information Perspective. Entropy 20(8): 551 (2018) - [j31]Hector Zenil, Santiago Hernández-Orozco, Narsis Aftab Kiani, Fernando Soler-Toscano, Antonio Rueda-Toicen, Jesper Tegnér:
A Decomposition Method for Global Evaluation of Shannon Entropy and Local Estimations of Algorithmic Complexity. Entropy 20(8): 605 (2018) - [j30]Hector Zenil, Narsis Aftab Kiani, Ming-Mei Shang, Jesper Tegnér:
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks. Parallel Process. Lett. 28(1): 1850005:1-1850005:18 (2018) - [c14]Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnér:
Synthesizing New Retinal Symptom Images by Multiple Generative Models. ACCV Workshops 2018: 235-250 - [c13]Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér:
Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. ACCV Workshops 2018: 323-338 - [i18]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Parameter-free Network Sparsification and Data Reduction by Minimal Algorithmic Information Loss. CoRR abs/1802.05843 (2018) - [i17]Hector Zenil, Narsis Aftab Kiani, Ming-Mei Shang, Jesper Tegnér:
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks. CoRR abs/1802.05856 (2018) - [i16]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Algorithmic Information Dynamics of Persistent Patterns and Colliding Particles in the Game of Life. CoRR abs/1802.07181 (2018) - [i15]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism. CoRR abs/1802.09904 (2018) - [i14]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Symmetry and Algorithmic Complexity of Polyominoes and Polyhedral Graphs. CoRR abs/1803.02186 (2018) - [i13]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
An Algorithmic Refinement of Maxent Induces a Thermodynamic-like Behaviour in the Reprogrammability of Generative Mechanisms. CoRR abs/1805.07166 (2018) - [i12]Chao-Han Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegnér:
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. CoRR abs/1806.06423 (2018) - [i11]Chao-Han Huck Yang, Rise Ooi, Tom Hiscock, Víctor M. Eguíluz, Jesper Tegnér:
Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics. CoRR abs/1807.03001 (2018) - [i10]Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér:
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. CoRR abs/1808.05754 (2018) - [i9]Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen, Víctor M. Eguíluz, Narsis Aftab Kiani, Hector Zenil, David Gomez-Cabrero, Jesper Tegnér:
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning. CoRR abs/1811.05592 (2018) - 2017
- [j29]Yue Deng, Hector Zenil, Jesper Tegnér, Narsis Aftab Kiani:
HiDi: an efficient reverse engineering schema for large-scale dynamic regulatory network reconstruction using adaptive differentiation. Bioinform. 33(24): 3964-3972 (2017) - [j28]Giorgos Papoutsoglou, Giorgos Athineou, Vincenzo Lagani, Iordanis Xanthopoulos, Angelika Schmidt, Szabolcs Elias, Jesper Tegnér, Ioannis Tsamardinos:
SCENERY: a web application for (causal) network reconstruction from cytometry data. Nucleic Acids Res. 45(Webserver-Issue): W270-W275 (2017) - [j27]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:
Dynamics and heterogeneity of brain damage in multiple sclerosis. PLoS Comput. Biol. 13(10) (2017) - [i8]Hector Zenil, Narsis Aftab Kiani, Francesco Marabita, Yue Deng, Szabolcs Elias, Angelika Schmidt, Gordon Ball, Jesper Tegnér:
An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems. CoRR abs/1709.05429 (2017) - 2016
- [j26]Francesco Marabita, Paola de Candia, Anna Torri, Jesper Tegnér, Sergio Abrignani, Riccardo L. Rossi:
Normalization of circulating microRNA expression data obtained by quantitative real-time RT-PCR. Briefings Bioinform. 17(2): 204-212 (2016) - [j25]David Gomez-Cabrero, Jörg Menche, Claudia Vargas, Isaac Cano, Dieter Maier, Albert-László Barabási, Jesper Tegnér, Josep Roca:
From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration. BMC Bioinform. 17(1): 23-35 (2016) - [j24]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Quantifying loss of information in network-based dimensionality reduction techniques. J. Complex Networks 4(3): 342-362 (2016) - 2015
- [c12]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Numerical Investigation of Graph Spectra and Information Interpretability of Eigenvalues. IWBBIO (2) 2015: 395-405 - [c11]Jakub Olczak, Narsis Aftab Kiani, Hector Zenil, Jesper Tegnér:
Topological Evaluation of Methods for Reconstruction of Genetic Regulatory Networks. SITIS 2015: 468-473 - [i7]Nicolas Gauvrit, Hector Zenil, Jesper Tegnér:
The Information-theoretic and Algorithmic Approach to Human, Animal and Artificial Cognition. CoRR abs/1501.04242 (2015) - [i6]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Numerical Investigation of Graph Spectra and Information Interpretability of Eigenvalues. CoRR abs/1501.06080 (2015) - [i5]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Quantifying Loss of Information in Network-based Dimensionality Reduction Techniques. CoRR abs/1504.06249 (2015) - [i4]Héctor Zenil, Angelika Schmidt, Jesper Tegnér:
Causality, Programmability and Information Biology. CoRR abs/1508.06538 (2015) - [i3]Hector Zenil, James A. R. Marshall, Jesper Tegnér:
Approximations of Algorithmic and Structural Complexity Validate Cognitive-behavioural Experimental Results. CoRR abs/1509.06338 (2015) - [i2]Narsis Aftab Kiani, Hector Zenil, Jakub Olczak, Jesper Tegnér:
Evaluating Network Inference Methods in Terms of Their Ability to Preserve the Topology and Complexity of Genetic Networks. CoRR abs/1512.01088 (2015) - 2014
- [j23]David Gomez-Cabrero, Imad Abugessaisa, Dieter Maier, Andrew E. Teschendorff, Matthias Merkenschlager, Andreas Gisel, Esteban Ballestar, Erik Bongcam-Rudloff, Ana Conesa, Jesper Tegnér:
Data integration in the era of omics: current and future challenges. BMC Syst. Biol. 8(S-2): I1 (2014) - [j22]Rafael Hernández-de-Diego, Noemi Boix-Chova, David Gomez-Cabrero, Jesper Tegnér, Imad Abugessaisa, Ana Conesa:
STATegra EMS: an Experiment Management System for complex next-generation omics experiments. BMC Syst. Biol. 8(S-2): S9 (2014) - 2013
- [j21]Andrew E. Teschendorff, Francesco Marabita, Matthias Lechner, Thomas E. Bartlett, Jesper Tegnér, David Gomez-Cabrero, Stephan Beck:
A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinform. 29(2): 189-196 (2013) - [c10]Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér:
Algorithmic complexity of motifs clusters superfamilies of networks. BIBM 2013: 74-76 - [c9]Hector Zenil, Gordon Ball, Jesper Tegnér:
Testing Biological Models for Non-linear Sensitivity with a Programmability Test. ECAL 2013: 1222-1223 - 2012
- [i1]José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér:
Identifying the Relevant Nodes Without Learning the Model. CoRR abs/1206.6847 (2012) - 2011
- [j20]Cristian Taccioli, Vincenza Maselli, Jesper Tegnér, David Gomez-Cabrero, Gioia Altobelli, Warren Emmett, Francesco Lescai, Stefano Gustincich, Elia Stupka:
ParkDB: a Parkinson's disease gene expression database. Database J. Biol. Databases Curation 2011 (2011) - [j19]Olivia Eriksson, Tom Andersson, Yishao Zhou, Jesper Tegnér:
Decoding complex biological networks - tracing essential and modulatory parameters in complex and simplified models of the cell cycle. BMC Syst. Biol. 5: 123 (2011)
2000 – 2009
- 2009
- [j18]Roland Nilsson, Johan Björkegren, Jesper Tegnér:
On reliable discovery of molecular signatures. BMC Bioinform. 10 (2009) - [j17]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:
Computational disease modeling - fact or fiction? BMC Syst. Biol. 3: 56 (2009) - [j16]José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér:
An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. J. Mach. Learn. Res. 10: 1071-1094 (2009) - 2008
- [j15]Isaac Shemer, Björn Brinne, Jesper Tegnér, Sten Grillner:
Electrotonic Signals along Intracellular Membranes May Interconnect Dendritic Spines and Nucleus. PLoS Comput. Biol. 4(3) (2008) - [c8]Jesper Tegnér:
Networks in Biology - From Identification, Analysis to Interpretation. GD 2008: 1 - 2007
- [j14]Julian Macoveanu, Torkel Klingberg, Jesper Tegnér:
Neuronal firing rates account for distractor effects on mnemonic accuracy in a visuo-spatial working memory task. Biol. Cybern. 96(4): 407-419 (2007) - [j13]Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér:
Detecting multivariate differentially expressed genes. BMC Bioinform. 8 (2007) - [j12]José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér:
Towards scalable and data efficient learning of Markov boundaries. Int. J. Approx. Reason. 45(2): 211-232 (2007) - [j11]Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér:
Consistent Feature Selection for Pattern Recognition in Polynomial Time. J. Mach. Learn. Res. 8: 589-612 (2007) - [j10]Fredrik Edin, Julian Macoveanu, Pernille Olesen, Jesper Tegnér, Torkel Klingberg:
Stronger Synaptic Connectivity as a Mechanism behind Development of Working Memory-related Brain Activity during Childhood. J. Cogn. Neurosci. 19(5): 750-760 (2007) - 2006
- [j9]Kristofer Hallén, Johan Björkegren, Jesper Tegnér:
Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations. BMC Bioinform. 7: 51 (2006) - [c7]Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér:
Evaluating Feature Selection for SVMs in High Dimensions. ECML 2006: 719-726 - [c6]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 - [c5]José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér:
Identifying the Relevant Nodes Without Learning the Model. UAI 2006 - 2005
- [j8]José M. Peña, Johan Björkegren, Jesper Tegnér:
Learning dynamic Bayesian network models via cross-validation. Pattern Recognit. Lett. 26(14): 2295-2308 (2005) - [c4]José M. Peña, Johan Björkegren, Jesper Tegnér:
Growing Bayesian network models of gene networks from seed genes. ECCB/JBI 2005: 229 - [c3]José M. Peña, Johan Björkegren, Jesper Tegnér:
Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption. ECSQARU 2005: 136-147 - 2004
- [c2]Olivia Eriksson, Yishao Zhou, Jesper Tegnér:
Modeling complex cellular networks - robust switching in the cell cycle ensures a piecewise linear reduction of the regulatory network. CDC 2004: 117-123 - 2002
- [j7]Ádám Kepecs, Mark C. W. van Rossum, Sen Song, Jesper Tegnér:
Spike-timing-dependent plasticity: common themes and divergent vistas. Biol. Cybern. 87(5-6): 446-458 (2002) - [j6]Jesper Tegnér, Albert Compte, Xiao-Jing Wang:
The dynamical stability of reverberatory neural circuits. Biol. Cybern. 87(5-6): 471-481 (2002) - [j5]Jesper Tegnér, Ádám Kepecs:
An adaptive spike-timing-dependent plasticity rule. Neurocomputing 44-46: 189-194 (2002) - 2001
- [c1]Jesper Tegnér, Ádám Kepecs:
Why Neuronal Dynamics Should Control Synaptic Learning Rules. NIPS 2001: 285-292
1990 – 1999
- 1999
- [j4]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) - [j3]Jesper Tegnér, Jeanette Hellgren Kotaleski:
The synaptic NMDA component desynchronizes neural bursters. Neurocomputing 26-27: 557-563 (1999) - 1998
- [j2]M. Ullström, Jeanette Hellgren Kotaleski, Jesper Tegnér, Erik Aurell, Sten Grillner, Anders Lansner:
Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator. Biol. Cybern. 79(1): 1-14 (1998) - [j1]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. J. Comput. Neurosci. 5(2): 121-140 (1998)
Coauthor Index
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