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2014
wyffels F, Jiwen L, Waegeman T, Schrauwen B, Jaeger H. Frequency Modulation of Large Oscillatory Neural Networks. Biological Cybernetics [Internet]. 2014 . Available from: http://minds.jacobs-university.de/sites/default/files/uploads/papers/2651_wyffelsetal.pdf
Khansari-Zadeh SMohammad, Billard A. Learning Control Lyapunov Function to Ensure Stability of Dynamical System-based Robot Reaching Motions. Robotics and Autonomous Systems. 2014 .
Lemme A, Neumann K, Reinhart RF, Steil JJ. Neural Learning of Vector Fields for Encoding Stable Dynamical Systems. Neurocomputing. 2014 .
Fontana A, Soltoggio A, Wrobel B. POET: an evo-devo method to optimize the weights of a large artificial neural networks. In: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). New York City, USA: Cambridge MA: MIT Press; 2014. (1.09 MB)
Pugh JK, Soltoggio A, Stanley KO. Real-time Hebbian Learning from Autoencoder Features for Control Tasks. In: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). New York City: MIT Cambridge; 2014. Available from: http://eplex.cs.ucf.edu/papers/pugh_alife14.pdf
Soltoggio A. Short-term plasticity as cause-effect hypothesis testing in distal reward learning . Biological Cybernetics [Internet]. 2014 . Available from: http://arxiv.org/abs/1402.0710
Kappel D, Nessler B, Maass W. STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning. PLoS Computational Biology. 2014 .
2013
Emmerich C, Nordmann A, Swadzba A, Steil JJ, Wrede S. Assisted Gravity Compensation to Cope with the Complexity of Kinesthetic Teaching on Redundant Robots. In: International Conference on Robotics and Automation. International Conference on Robotics and Automation. Karlsruhe; 2013. Available from: http://www.cor-lab.de/system/files/main_0.pdf
Galtier M, Wainrib G. A biological gradient descent for prediction through a combination of STDP and homeostatic plasticity. Neural Computation [Internet]. 2013 ;25(11). Available from: http://de.arxiv.org/abs/1206.4812
Degrave J, Burm M, Waegeman T, wyffels F, Schrauwen B. Comparing trotting and turning strategies on the quadrupedal Oncilla Robot. In: IEEE International Conference on Robotics and Biomimetics, Proceedings. IEEE International Conference on Robotics and Biomimetics, Proceedings. ; 2013. Available from: https://biblio.ugent.be/publication/4215689
Manjunath G, Jaeger H. Echo State Property Linked to an Input: Exploring a Fundamental Characteristic of Recurrent Neural Networks. Neural Computation [Internet]. 2013 ;25:671-696. Available from: http://minds.jacobs-university.de/sites/default/files/uploads/papers/ESP_NC.pdf
Klampfl S, Maass W. Emergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP. The Journal of Neuroscience [Internet]. 2013 ;33:11515-11529. Available from: http://www.jneurosci.org/content/33/28/11515.abstract
Lemme A, Freire A, Barreto G, Steil JJ. Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing [Internet]. 2013 . Available from: http://www.researchgate.net/publication/236246884_Kinesthetic_teaching_of_visuomotor_coordination_for_pointing_by_the_humanoid_robot_iCub/file/50463517581934eb64.pdf
Gay S, Santos-Victor J, Ijspeert A. Learning robot gait stability using neural networks as sensory feedback function for Central Pattern Generators. In: Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on. Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on. IEEE; 2013.
Soltoggio A, Reinhart RF, Lemme A, Steil JJ. Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards. In: Proceedings of the Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics - Osaka, Japan - August 2013. Proceedings of the Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics - Osaka, Japan - August 2013. ; 2013. Available from: http://andrea.soltoggio.net/data/projects/icub-rock-paper-scissors/soltoggioReinhartLemmeICDL2013preprint.pdf (1.77 MB)
Galtier M, Touboul J. Macroscopic Equations Governing Noisy Spiking Neuronal Populations with Linear Synapses. PLOS one. 2013 ;8:e78917. (888.85 KB)
Emmerich C, Reinhart RF, Steil JJ. Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 2013 .
Neumann K, Lemme A, Steil JJ. Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. In: Int. Conf. Intelligent Robots and Systems (IROS). Int. Conf. Intelligent Robots and Systems (IROS). Tokio: IEEE; 2013. Available from: http://www.cor-lab.de/system/files/LemmeNeumannSteil2013.pdf
Lemme A, Neumann K, Reinhart RF, Steil JJ. Neurally imprinted stable vector fields. In: ESANN. ESANN. ; 2013. Available from: http://www.cor-lab.de/system/files/LemmeNeumannReinhartSteil2013.pdf
Soltoggio A, Lemme A, Reinhart RF, Steil JJ. Rare neural correlations implement robotic conditioning with delayed rewards and disturbances. Frontiers in Neurorobotics [Internet]. 2013 . Available from: http://andrea.soltoggio.net/data/papers/soltoggioLemmeReinhartFrontiers2013.pdf (2.01 MB)
Soltoggio A, Steil JJ. Solving the Distal Reward Problem with Rare Correlations. Neural Computation [Internet]. 2013 ;25(4):978. Available from: http://andrea.soltoggio.net/data/papers/soltoggioSteilNeuralComputation2012.pdf (896.67 KB)
Habenschuss S, Jonke Z, Maass W. Stochastic Computations in Cortical Microcircuit Models. PLoS Computational Biology [Internet]. 2013 ;9:e1003311. Available from: http://dx.doi.org/10.1371%2Fjournal.pcbi.1003311
Degrave J, Van Cauwenbergh R, wyffels F, Waegeman T, Schrauwen B. Terrain classification for a quadruped robot. In: International Conference on Machine Learning and Applications, Proceedings. International Conference on Machine Learning and Applications, Proceedings. ; 2013. Available from: https://biblio.ugent.be/record/4215673
Wrede S, Emmerich C, Grünberg R, Nordmann A, Swadzba A, Steil JJ. A User Study on Kinesthetic Teaching of Redundant Robots in Task and Configuration Space. Journal of Human-Robot Interaction [Internet]. 2013 ;2:56-81. Available from: http://www.cor-lab.de/system/files/main_1.pdf
2012
Emmerich C, Reinhart RF, Steil JJ. Balancing of neural contributions for multi-modal hidden state association. In: European Symposium on Artificial Neural Networks. European Symposium on Artificial Neural Networks. Brugge: d-facto; 2012.
Waegeman T, wyffels F, Schrauwen B. A Discrete/Rhythmic Pattern Generating RNN. In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ; 2012.
Khansari-Zadeh SM, Billard A. A dynamical system approach to realtime obstacle avoidance. Autonomous Robots [Internet]. 2012 ;32:433-454. Available from: http://dx.doi.org/10.1007/s10514-012-9287-y
Hoerzer GM, Legenstein R, Maass W. Emergence of Complex Computational Structures From Chaotic Neural Networks Through Reward-Modulated Hebbian Learning. Cerebral Cortex [Internet]. 2012 . Available from: http://cercor.oxfordjournals.org/content/early/2012/11/09/cercor.bhs348.abstract
Kim S, Billard A. Estimating the non-linear dynamics of free-flying objects. Robotics and Autonomous Systems. 2012 :–.
Waegeman T, wyffels F, Schrauwen B. Feedback Control by Online Learning an Inverse Model. IEEE Transactions on Neural Networks and Learning Systems. 2012 .
Soltoggio A, Stanley KO. From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation. Neural Networks Journal [Internet]. 2012 ;34. Available from: http://andrea.soltoggio.net/data/papers/soltoggioStanley2012NNs.pdf (1.01 MB)
Khansari-Zadeh SM, Kronander K, Billard A. Learning to Play Minigolf: A Dynamical System-based Approach. Advanced Robotics [Internet]. 2012 . Available from: http://infoscience.epfl.ch/record/181052/files/MiniGolf_AR12.pdf
Freire A, Lemme A, Steil JJ, Barreto G. Learning visuo-motor coordination for pointing without depth calculation. European Symposium on Artificial Neural Networks [Internet]. 2012 :91-96. Available from: http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2012-173.pdf
Reinhart RF, Steil JJ. Learning Whole Upper Body Control with Dynamic Redundancy Resolution in Coupled Associative Radial Basis Function Networks. In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems. ; 2012. Available from: http://www.cor-lab.de/system/files/ReinhartSteil-IROS2012.pdf
Lemme A, Reinhart RF, Steil JJ. Online learning and generalization of parts-based image representations by Non-Negative Sparse Autoencoders. Neural Networks [Internet]. 2012 ;33:194 – 203. Available from: http://www.cor-lab.de/system/files/LemmeReinhartSteil-NeuralNetworks.pdf
Khansari-Zadeh SMohammad, Billard A. Realtime Avoidance of Fast Moving Objects: A Dynamical System-based Approach. In: Electronic proc. of the Workshop on Robot Motion Planning: Online, Reactive, and in Real-Time, Int. Conf. on Intelligent Robots and Systems (IROS). Electronic proc. of the Workshop on Robot Motion Planning: Online, Reactive, and in Real-Time, Int. Conf. on Intelligent Robots and Systems (IROS). ; 2012. Available from: http://www.reflexxes.com/iros2012ws/Paper_04.pdf
Reinhart RF, Lemme A, Steil JJ. Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. In: IEEE-RAS International Conference on Humanoid Robots (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids). ; 2012. Available from: http://www.cor-lab.de/system/files/ReinhartLemmeSteil-Humanoids2012_preprint.pdf
Nordmann A, Emmerich C, Ruether S, Lemme A, Wrede S, Steil JJ. Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. In: International Conference on Automation and Robotics. International Conference on Automation and Robotics. ; 2012. Available from: http://www.cor-lab.de/system/files/main_2.pdf
Endres D, Adam R, Giese MA, Noppeney U. Understanding the Semantic Structure of Human fMRI Brain Recordings With Formal Concept Analysis. In: Proceedings of the 10h International Conference on Formal Concept Analysis (ICFCA 2012). Proceedings of the 10h International Conference on Formal Concept Analysis (ICFCA 2012). Springer; 2012. pp. 1-16. Available from: http://www.kyb.mpg.de/fileadmin/user_upload/files/publications/2012/ICFCA-2012-Adam.pdf
Soltoggio A, Lemme A, Steil JJ. Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. In: Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012). Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012). ; 2012. Available from: http://andrea.soltoggio.net/data/papers/soltoggioLemmeSteilROBIO2012Preprint.pdf (1.97 MB)
Chiovetto E, Patanè L, Pozzo T. Variant and invariant features characterizing natural and reverse whole-body pointing movements. Experimental Brain Research [Internet]. 2012 :1-13. Available from: http://dx.doi.org/10.1007/s00221-012-3030-y
2011
Mukovskiy A, Slotine J-JE, Giese MA. Analysis and design of the dynamical stability of collective behavior in crowds Skala V. Journal of WSCG [Internet]. 2011 ;19:69–76. Available from: https://otik.uk.zcu.cz/bitstream/handle/11025/1244/Mukovskiy.pdf?sequence=4
Grollman DH, Billard A. Donut as I do: Learning from Failed Demonstrations. In: International Conference on Robotics and Automation. International Conference on Robotics and Automation. Shanghai; 2011. Available from: https://ais.informatik.uni-freiburg.de/files/grollman11icra.pdf
Endres D, Christensen A, Omlor L, Giese MA. Emulating Human Observers with Bayesian Binning: Segmentation of Action Streams. ACM Transactions on Applied Perception (TAP) [Internet]. 2011 ;8:16:1-12. Available from: http://www.compsens.uni-tuebingen.de/joomla/administrator/components/com_jresearch/files/publications/Endres_TAP2011.pdf
Chiovetto E. The motor system plays the violin: a musical metaphor inferred from the oscillatory activity of the alpha-motoneuron pools during locomotion. J Neurophysiol [Internet]. 2011 . Available from: http://dx.doi.org/10.1152/jn.01119.2010
Omlor L, Giese MA. Anechoic Blind Source Separation using Wigner Marginals. Journal of Machine Learning Research [Internet]. 2011 ;12:1111-1148. Available from: http://jmlr.csail.mit.edu/papers/volume12/omlor11a/omlor11a.pdf
Pecevski D, Buesing L, Maass W. Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons. PLoS Computational Biology [Internet]. 2011 ;7:e1002294. Available from: http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002294
Taubert N, Endres D, Christensen A, Giese MA. Shaking hands in latent space: modeling emotional interactions with Gaussian process latent variable models. In: Edelkamp S, Bach J {KI}2011, {LNAI} 7006. {KI}2011, {LNAI} 7006. Springer; 2011. pp. 330-334. Available from: http://www.compsens.uni-tuebingen.de/joomla/administrator/components/com_jresearch/files/publications/Taubert_KI2011.pdf
Rückert EA, Neumann G. A study of Morphological Computation by using Probabilistic Inference for Motor Planning. In: 2nd International Conference on Morphological Computation (ICMC2011). 2nd International Conference on Morphological Computation (ICMC2011). Venice, Italy; 2011. pp. 51–53. Available from: http://eprints.pascal-network.org/archive/00008757/01/AICOMorphComp.pdf
Waegeman T, Schrauwen B. Towards Learning Inverse Kinematics with a Neural Network Based Tracking Controller. In: Neural Information Processing. Neural Information Processing. Springer; 2011. pp. 441–448. Available from: https://biblio.ugent.be/publication/1948358/file/1948375.pdf
Neumann G. Variational Inference for Policy Search in Changing Situations. In: Getoor L, Scheffer T Proceedings of the 28th International Conference on Machine Learning (ICML-11). Proceedings of the 28th International Conference on Machine Learning (ICML-11). New York, NY, USA: ACM; 2011. pp. 817–824. Available from: http://www.igi.tugraz.at/gerhard/research/papers/441_icmlNeumann.pdf
2010
Khansari-Zadeh SM, Billard A. BM: An Iterative Algorithm to Learn Stable Non-Linear Dynamical Systems with Gaussian Mixture Models. In: Proceeding of the International Conference on Robotics and Automation (ICRA). Proceeding of the International Conference on Robotics and Automation (ICRA). ; 2010. pp. 2381-2388. Available from: http://www.researchgate.net/publication/224156439_BM_An_iterative_algorithm_to_learn_stable_non-linear_dynamical_systems_with_Gaussian_mixture_models/file/9c960517160383ff2c.pdf
Lemme A, Reinhart RF, Steil JJ. Efficient online learning of a non-negative sparse autoencoder. In: ESANN. Vol. doi:10.1016/j.humov.2010.04.001. ESANN. Bruges: d-facto; 2010. pp. 1-6. Available from: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2010-73.pdf
Khansari-Zadeh SM, Billard A. Imitation Learning of Globally Stable Non-Linear Point-to-Point Robot Motions using Nonlinear Programming. In: Proceeding of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Proceeding of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). ; 2010. pp. 2676-2683. Available from: http://homepages.inf.ed.ac.uk/s0565544/0146.pdf
Kim S, Gribovskaya E, Billard A. Learning motion dynamics to catch a moving object. In: 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids). 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids). Nashville, TN; 2010. pp. 106-111. Available from: http://www.academia.edu/download/30230251/humanoids2010_ready.pdf

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