Author Kulvicius, Tomas

1 to 29 of 29 Items
  • 2007 | Conference Paper
    ​ ​Improved stability and convergence with three factor learning​
    Porr, B.; Kulvicius, T. & Woergoetter, F.​ (2007)
    Neurocomputing, 70(10-12) pp. 2005​-2008. ​15th Annual Computational Neuroscience Meeting​, Edinburgh, SCOTLAND.
    Amsterdam​: Elsevier Science Bv. DOI: https://doi.org/10.1016/j.neucom.2006.10.137 
    ​Details  DOI  WoS 
  • 2007 | Conference Paper
    ​ ​Development of receptive fields in a closed-loop behavioural system​
    Kulvicius, T.; Porr, B. & Woergoetter, F.​ (2007)
    Neurocomputing, 70(10-12) pp. 2046​-2049. ​15th Annual Computational Neuroscience Meeting​, Edinburgh, SCOTLAND.
    Amsterdam​: Elsevier Science Bv. DOI: https://doi.org/10.1016/j.neucom.2006.10.132 
    ​Details  DOI  WoS 
  • 2007 | Journal Article | 
    ​ ​Adaptive, fast walking in a biped robot under neuronal control and learning​
    Manoonpong, P.; Geng, T.; Kulvicius, T.; Porr, B. & Woergoetter, F.​ (2007) 
    PLoS Computational Biology, 3(7) art. e134​.​ DOI: https://doi.org/10.1371/journal.pcbi.0030134 
    ​Details  DOI  PMID  PMC  WoS 
  • 2007 | Journal Article
    ​ ​Chained learning architectures in a simple closed-loop behavioural context​
    Kulvicius, T.; Porr, B. & Woergoetter, F.​ (2007) 
    Biological Cybernetics, 97(5-6) pp. 363​-378​.​ DOI: https://doi.org/10.1007/s00422-007-0176-y 
    ​Details  DOI  PMID  PMC  WoS 
  • 2008 | Journal Article | 
    ​ ​Odor supported place cell model and goal navigation in rodents​
    Kulvicius, T.; Tamosiunaite, M.; Ainge, J. A.; Dudchenko, P. A. & Woergoetter, F.​ (2008) 
    Journal of Computational Neuroscience, 25(3) pp. 481​-500​.​ DOI: https://doi.org/10.1007/s10827-008-0090-x 
    ​Details  DOI  PMID  PMC  WoS 
  • 2008 | Journal Article | 
    ​ ​Path-finding in real and simulated rats: assessing the influence of path characteristics on navigation learning​
    Tamosiunaite, M.; Ainge, J. A.; Kulvicius, T.; Porr, B.; Dudchenko, P. A. & Woergoetter, F.​ (2008) 
    Journal of Computational Neuroscience, 25(3) pp. 562​-582​.​ DOI: https://doi.org/10.1007/s10827-008-0094-6 
    ​Details  DOI  PMID  PMC  WoS 
  • 2010 | Journal Article | 
    ​ ​Odour supported place cell model and goal navigation in rodents (vol 25, pg 481, 2008)​
    Kulvicius, T.; Tamosiunaite, M.; Ainge, J. A.; Dudchenko, P. A. & Woergoetter, F.​ (2010) 
    Journal of Computational Neuroscience, 28(3).​ DOI: https://doi.org/10.1007/s10827-010-0216-9 
    ​Details  DOI  WoS 
  • 2010 | Journal Article | 
    ​ ​Path-finding in real and simulated rats: assessing the influence of path characteristics on navigation learning (vol 25, pg 562, 2008)​
    Tamosiunaite, M.; Ainge, J. A.; Kulvicius, T.; Porr, B.; Dudchenko, P. A. & Woergoetter, F.​ (2010) 
    Journal of Computational Neuroscience, 28(3).​ DOI: https://doi.org/10.1007/s10827-010-0217-8 
    ​Details  DOI  WoS 
  • 2012 | Journal Article
    ​ ​Joining Movement Sequences: Modified Dynamic Movement Primitives for Robotics Applications Exemplified on Handwriting​
    Kulvicius, T.; Ning, K.; Tamosiunaite, M. & Woergoetter, F.​ (2012) 
    IEEE Transactions on Robotics, 28(1) pp. 145​-157​.​ DOI: https://doi.org/10.1109/TRO.2011.2163863 
    ​Details  DOI  WoS 
  • 2012 | Journal Article | 
    ​ ​A Novel Trajectory Generation Method for Robot Control​
    Ning, K.; Kulvicius, T.; Tamosiunaite, M. & Woergoetter, F.​ (2012) 
    Journal of Intelligent & Robotic Systems, 68(2) pp. 165​-184​.​ DOI: https://doi.org/10.1007/s10846-012-9683-8 
    ​Details  DOI  WoS 
  • 2013 | Journal Article
    ​ ​Interaction learning for dynamic movement primitives used in cooperative robotic tasks​
    Kulvicius, T.; Biehl, M.; Aein, M. J.; Tamosiunaite, M. & Woergoetter, F.​ (2013) 
    Robotics and Autonomous Systems, 61(12) pp. 1450​-1459​.​ DOI: https://doi.org/10.1016/j.robot.2013.07.009 
    ​Details  DOI  WoS 
  • 2015 | Journal Article | poster | 
    ​ ​Induction and consolidation of calcium-based homo- and heterosynaptic potentiation and depression​
    Li, Y.; Kulvicius, T. & Tetzlaff, C.​ (2015) 
    BMC Neuroscience, 16(Suppl 1) art. P252​.​ DOI: https://doi.org/10.1186/1471-2202-16-S1-P252 
    ​Details  DOI 
  • 2015 | Journal Article | 
    ​ ​Self-organization of computation in neural systems by interaction between homeostatic and synaptic plasticity​
    Dasgupta, S.; Tetzlaff, C.; Kulvicius, T. & Wörgötter, F.​ (2015) 
    BMC Neuroscience, 16(Suppl 1) art. O5​.​ DOI: https://doi.org/10.1186/1471-2202-16-S1-O5 
    ​Details  DOI 
  • 2015 | Journal Article | 
    ​ ​The Use of Hebbian Cell Assemblies for Nonlinear Computation​
    Tetzlaff, C.; Dasgupta, S.; Kulvicius, T. & Woergoetter, F.​ (2015) 
    Scientific Reports, 5 art. 12866​.​ DOI: https://doi.org/10.1038/srep12866 
    ​Details  DOI  PMID  PMC  WoS 
  • 2016 | Journal Article | 
    ​ ​Induction and Consolidation of Calcium-Based Homo- and Heterosynaptic Potentiation and Depression​
    Li, Y.; Kulvicius, T. & Tetzlaff, C.​ (2016) 
    PLoS ONE, 11(8) art. e0161679​.​ DOI: https://doi.org/10.1371/journal.pone.0161679 
    ​Details  DOI  PMID  PMC  WoS 
  • 2017 | Journal Article
    ​ ​Generation of movements with boundary conditions based on optimal control theory​
    Herzog, S. K.; Woergoetter, F. & Kulvicius, T.​ (2017) 
    Robotics and Autonomous Systems, 94 pp. 1​-11​.​ DOI: https://doi.org/10.1016/j.robot.2017.04.006 
    ​Details  DOI  WoS 
  • 2018 | Conference Paper
    ​ ​Prediction of Manipulation Action Classes Using Semantic Spatial Reasoning​
    Ziaeetabar, F.; Kulvicius, T.; Tamosiunaite, M. & Worgotter, F.​ (2018)
    pp. 3350​-3357. ​2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)​, Madrid.
    IEEE. DOI: https://doi.org/10.1109/IROS.2018.8593717 
    ​Details  DOI 
  • 2019 | Book Chapter
    ​ ​CPG Driven RBF Network Control with Reinforcement Learning for Gait Optimization of a Dung Beetle-Like Robot​
    Pitchai, M.; Xiong, X.; Thor, M.; Billeschou, P.; Mailänder, P. L.; Leung, B.& Kulvicius, T. et al.​ (2019)
    In:​Tetko, Igor V.; Kůrková, Věra; Karpov, Pavel; Theis, Fabian​ (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I pp. 698​-710. ​Cham: ​Springer International Publishing. DOI: https://doi.org/10.1007/978-3-030-30487-4_53 
    ​Details  DOI 
  • 2020 | Conference Paper
    ​ ​One-Shot Multi-Path Planning for Robotic Applications Using Fully Convolutional Networks​
    Kulvicius, T.; Herzog, S.; Luddecke, T.; Tamosiunaite, M. & Worgotter, F.​ (2020)
    pp. 1460​-1466. ​2020 IEEE International Conference on Robotics and Automation (ICRA)​, Paris, France.
    IEEE. DOI: https://doi.org/10.1109/ICRA40945.2020.9196719 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Finding Optimal Paths Using Networks Without Learning--Unifying Classical Approaches​
    Kulvicius, T.; Herzog, S.; Tamosiunaite, M. & Worgotter, F.​ (2021) 
    IEEE Transactions on Neural Networks and Learning Systems, pp. 1​-11​.​ DOI: https://doi.org/10.1109/TNNLS.2021.3089023 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Novel AI driven approach to classify infant motor functions​
    Reich, S.; Zhang, D.; Kulvicius, T.; Bölte, S.; Nielsen-Saines, K.; Pokorny, F. B. & Peharz, R. et al.​ (2021) 
    Scientific Reports, 11(1) art. 9888​.​ DOI: https://doi.org/10.1038/s41598-021-89347-5 
    ​Details  DOI 
  • 2022 | Conference Paper
    ​ ​6D pose estimation and 3D object reconstruction from 2D shape for robotic grasping of objects​
    Wolnitza, M.; Kaya, O.; Kulvicius, T.; Worgotter, F. & Dellen, B.​ (2022)
    pp. 67​-71. ​2022 Sixth IEEE International Conference on Robotic Computing (IRC)​, Italy.
    IEEE. DOI: https://doi.org/10.1109/IRC55401.2022.00018 
    ​Details  DOI 
  • 2022 | Journal Article | 
    ​ ​Emerging Verbal Functions in Early Infancy: Lessons from Observational and Computational Approaches on Typical Development and Neurodevelopmental Disorders​
    Marschik, P. B.; Widmann, C. A. A.; Lang, S.; Kulvicius, T.; Boterberg, S.; Nielsen-Saines, K. & Bölte, S. et al.​ (2022) 
    Advances in Neurodevelopmental Disorders, 6(4) pp. 369​-388​.​ DOI: https://doi.org/10.1007/s41252-022-00300-7 
    ​Details  DOI 
  • 2022 | Journal Article | 
    ​ ​Using machine learning to improve diagnostic assessment of ASD in the light of specific differential and co‐occurring diagnoses​
    Schulte‐Rüther, M.; Kulvicius, T.; Stroth, S.; Wolff, N.; Roessner, V.; Marschik, P. B. & Kamp‐Becker, I. et al.​ (2022) 
    Journal of Child Psychology and Psychiatry, 64(1) art. jcpp.13650​.​ DOI: https://doi.org/10.1111/jcpp.13650 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Bootstrapping Concept Formation in Small Neural Networks​
    Tamosiunaite, M.; Kulvicius, T. & Wörgötter, F.​ (2023) 
    IEEE Transactions on Cognitive and Developmental Systems, 15(2) pp. 566​-580​.​ DOI: https://doi.org/10.1109/TCDS.2022.3163022 
    ​Details  DOI 
  • 2023 | Journal Article | 
    ​ ​Simulated mental imagery for robotic task planning​
    Li, S.; Kulvicius, T.; Tamosiunaite, M. & Wörgötter, F.​ (2023) 
    Frontiers in Neurorobotics, 17.​ DOI: https://doi.org/10.3389/fnbot.2023.1218977 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Combining Optimal Path Search With Task-Dependent Learning in a Neural Network​
    Kulvicius, T.; Tamosiunaite, M. & Wörgötter, F.​ (2023) 
    IEEE Transactions on Neural Networks and Learning Systems, pp. 1​-12​.​ DOI: https://doi.org/10.1109/TNNLS.2023.3327103 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Open video data sharing in developmental science and clinical practice​
    Marschik, P. B.; Kulvicius, T.; Flügge, S.; Widmann, C.; Nielsen-Saines, K.; Schulte-Rüther, M. & Hüning, B. et al.​ (2023) 
    iScience, 26(4) art. 106348​.​ DOI: https://doi.org/10.1016/j.isci.2023.106348 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Ein neues Kodierschema als Basis für die klinische Beurteilung frühkindlicher Vokalisationen und Deep Acoustic Phenotyping​
    Kulvicius, T.; Lang, S.; Widmann, C. A. A.; Hansmann, N.; Holzinger, D.; Poustka, L. & Zhang, D. et al.​ (2023) 
    Kindheit und Entwicklung, 32(3) pp. 142​-150​.​ DOI: https://doi.org/10.1026/0942-5403/a000418 
    ​Details  DOI 

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