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2013
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
de la Rosa S, Giese MA, Bülthoff HH, Curio C. The contribution of different cues of facial movement to the emotional facial expression adaptation aftereffect. Journal of Vision [Internet]. 2013 ;13:1–15. Available from: http://www.journalofvision.org/content/13/1/23
Zhao Q, Ellenberger B, Sumioka H, Sandy T, Pfeifer R. The Effect of Spine Actuation and Stiffness on a Pneumatically-driven Quadruped Robot for Cheetah-like Locomotion. In: 2013 IEEE International Conference on Robotics and Biomimetics (Robio). 2013 IEEE International Conference on Robotics and Biomimetics (Robio). ; 2013.
Christensen A, Borchers S, Himmelbach M. Effects of Pictorial Cues on Reaching Depend on the Distinctiveness of Target Objects. PLoS ONE [Internet]. 2013 ;8:e54230. Available from: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0054230
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
Ajallooeian M, van den Kieboom J, Mukovskiy A, Giese MA, Ijspeert A. A general family of morphed nonlinear phase oscillators with arbitrary limit cycle shape. Physica D: Nonlinear Phenomena. 2013 ;263:41–56.
Chiovetto E, Berret B, Delis I, Panzeri S, Pozzo T. Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies. Front Comput Neurosci. [Internet]. 2013 ;7. Available from: http://www.frontiersin.org/Computational_Neuroscience/10.3389/fncom.2013.00011/abstract
Chiovetto E, Giese MA. Kinematics of the coordination of pointing during locomotion. Plos One [Internet]. 2013 . Available from: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0079555
Rückert EA, Neumann G, Toussaint M, Maass W. Learned graphical models for probabilistic planning provide a new class of movement primitives. Frontiers in Computational Neuroscience (Special Issue on Modularity in motor control: from muscle synergies to cognitive action representation) [Internet]. 2013 ;6. Available from: http://www.frontiersin.org/computational_neuroscience/10.3389/fncom.2012.00097/abstract
Rückert EA, d'Avella A. Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems. In: Abstracts of Neural Control of Movement Conference (NCM 2013). Abstracts of Neural Control of Movement Conference (NCM 2013). ; 2013. Available from: http://eprints.pascal-network.org/archive/00009898/
Rückert E, d'Avella A. Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems. Frontiers in Computational Neuroscience (Special Issue on Modularity in motor control: from muscle synergies to cognitive action representation) [Internet]. 2013 ;7:138. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3797962/
Caluwaerts K, D'Haene M, Verstraeten D, Schrauwen B. Locomotion without a brain: Physical reservoir computing in tensegrity structures. Artificial life [Internet]. 2013 ;19:35–66. Available from: http://users.elis.ugent.be/~kcaluwae/alife_caluwaerts.pdf
Waegeman T, Hermans M, Schrauwen B. MACOP Modular Architecture for Control with Primitives. Frontiers in Computational Neuroscience. 2013 ;7.
Alessandro C, Delis I, Nori F, Panzeri S, Berret B. Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives. Frontiers in Computational Neuroscience [Internet]. 2013 . Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3630334/
Fleischer F, Caggiano V, Thier P, Giese MA. Physiologically Inspired Model for the Visual Recognition of Transitive Hand Actions. The Journal of Neuroscience, in press [Internet]. 2013 . Available from: http://www.jneurosci.org/content/33/15/6563.full
Zhao Q, Sumioka H, Nakajima K, Yu X, Pfeifer R. Spine as an Engine: Effect of Spine Morphology on Spine-Driven Quadruped Locomotion. Advanced Robotics [Internet]. 2013 . Available from: http://www.tandfonline.com/doi/pdf/10.1080/01691864.2013.867287 (421.4 KB)
Zhao Q, Nakajima K, Sumioka H, Hauser H, Pfeifer R. Spine dynamics as a computational resource in spine-driven quadruped locomotion. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). ; 2013.
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
Taubert N, Löffler M, Ludolph N, Christensen A, Endres D, Giese MA. A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models. Proceedings of the ACM Symposium on Applied Perception [Internet]. 2013 :41-44. Available from: http://doi.acm.org/10.1145/2492494.2492515
Khansari M, Lemme A, Meirovitch Y, Schrauwen B, Giese MA, Steil J, Ijspeert AJ, Billard A. Workshop on Benchmarking of State-of-the-Art algorithms in Generating Human-Like Robot Reaching Motions. IEEE Humanoids. 2013 .
2012
Degrave J, wyffels F, Waegeman T, Kindermans P-J, Schrauwen B. Applying morphological changes during the evolution of quadruped robots results in robust gaits. In: De Baets B, Manderick B, Rademaker Ml, Waegeman W Proceedings of the 21st Belgian-Dutch Conference on Machine Learning. Proceedings of the 21st Belgian-Dutch Conference on Machine Learning. University Press; 2012.
Martinez Salazar HR, Carbajal JP. Can we design controllers for bipedal robots based on simple models (templates) of their dynamics?. In: International Conference on Dynamic Walking 2012. International Conference on Dynamic Walking 2012. Pensacola, Florida, USA; 2012.
Mukovskiy A, Slotine JJE, Giese MA. Dynamically stable control of articulated crowds. Journal of Computational Science [Internet]. 2012 . Available from: http://www.sciencedirect.com/science/article/pii/S1877750312001081
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.
Zhao Q, nakajima K, Sumioka H, Yu X, Pfeifer R. Embodiment Enables the Spinal Engine on Quadruped Robot Locomotion. In: 2012 IEEE/RSJ Internattional Conference on Intelligent Robots and Systems. 2012 IEEE/RSJ Internattional Conference on Intelligent Robots and Systems. Elsevier; 2012.
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
Waegeman T, wyffels F, Schrauwen B. Feedback Control by Online Learning an Inverse Model. IEEE Transactions on Neural Networks and Learning Systems. 2012 .
Zhao Q, Sumioka H, nakajima K, Yu X, Pfeifer R. The function of the spine and its morphological effect in quadruped robot locomotion. In: 2012 IEEE International conference on Robotics and Biomimetics. 2012 IEEE International conference on Robotics and Biomimetics. ; 2012.
Alessandro C, Carbajal JP, d'Avella A. Generation of synergies for reaching based on interpolation properties of their dynamic responses. In: From Animals to Animats 12: Proceedings 12th International Conference on Simulation of adaptive behavior. From Animals to Animats 12: Proceedings 12th International Conference on Simulation of adaptive behavior. Odense, Denmark: Springer Berlin Heidelberg; 2012. Available from: http://arxiv.org/abs/1205.3668v1
Taubert N, Christensen A, Endres D, Giese MA. Online Simulation of Emotional Interactive Behaviors with Hierarchical Gaussian Process Dynamical Models. Proceedings of the ACM Symposium on Applied Perception (ACM-SAP 2012) [Internet]. 2012 :25-32. Available from: http://dl.acm.org/citation.cfm?id=2338682
Hauser H, Ijspeert A, Füchslin RM, Pfeifer R, Maass W. The role of feedback in morphological computation with compliant bodies. Biological Cybernetics [Internet]. 2012 ;106:595-613. Available from: http://dx.doi.org/10.1007/s00422-012-0516-4
Rückert EA, Neumann G. Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation. Artificial Life (Special Issue on Morphological Computation) [Internet]. 2012 ;19:115–131. Available from: http://www.ias.informatik.tu-darmstadt.de/uploads/Site/EditPublication/r%fcckert2012_artificiallife.pdf
Kindermans P-J, wyffels F, Caluwaerts K, Guns B, Schrauwen B. Towards incorporation of hierarchical Bayesian models into evolution strategies for quadruped gait generation. In: Proceedings of the 21st Belgian-Dutch Conference on Machine Learning. Proceedings of the 21st Belgian-Dutch Conference on Machine Learning. ; 2012. Available from: https://biblio.ugent.be/publication/2134106/file/2134110.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
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
Hauser H, Neumann G, Ijspeert A, Maass W. Biologically inspired kinematic synergies enable linear balance control of a humanoid robot. Biological Cybernetics [Internet]. 2011 ;104:235–249. Available from: http://www.springerlink.com/content/5217485124776363/
Caluwaerts K, Schrauwen B. The body as a reservoir: locomotion and sensing with linear feedback. In: 2nd International Conference on Morphological Computation. 2nd International Conference on Morphological Computation. Venice, Italy; 2011. Available from: https://biblio.ugent.be/publication/1203118/file/1900813.pdf
Sumioka H, Hauser H, Pfeifer R. Computation with mechanically coupled springs for compliant robots. In: IEEE/RSJ International conference on Intelligent Robots and Systems. IEEE/RSJ International conference on Intelligent Robots and Systems. IEEE; 2011. Available from: https://sites.google.com/site/hidenobusumioka/home/publications/SumiokaIROS2011_final.pdf
Zhao Q, Sumioka H, Pfeifer R. The Effect of Morphology on the Spinal Engine Driven Locomotion in a Quadruped Robot. In: The 5th International Symposium on Adaptive Motion in Animals and Machines. The 5th International Symposium on Adaptive Motion in Animals and Machines. Hyogo, Japan; 2011. Available from: http://adaptivemotion.org/AMAM2011/papers/s234.pdf
Zhao Q, Sumioka H. The Effect of Robot Morphology on Locomotion from the Perspective of Spinal Engine in a Quadruped Robot. In: 2nd International Conference on Morphological Computation. 2nd International Conference on Morphological Computation. Venice, Italy; 2011.
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
Martinez Salazar HR, Carbajal JP. From Walking to Running a Natural Transition in the SLIP Model Using the Hopping Gait. In: Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on. Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on. ; 2011. pp. 2163 - 2168.
Martinez Salazar HR, Carbajal JP. Including the Passive Dynamics of a Compliant Leg in the Gait Control. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). San Francisco, CA, USA; 2011. Available from: http://arxiv.org/abs/1108.4432
Kuppuswamy N, Carbajal JP. Learning a curvature dynamic model of an octopus-inspired soft robot arm using flexure sensors. In: The European Future Technologies Conference and Exhibition. The European Future Technologies Conference and Exhibition. ; 2011. Available from: http://www.sciencedirect.com/science/article/pii/S1877050911006065
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
Dermitzakis K, Carbajal JP, Marden JH. Scaling laws in robotics. In: The European Future Technologies Conference and Exhibition. The European Future Technologies Conference and Exhibition. ; 2011. Available from: http://www.sciencedirect.com/science/article/pii/S1877050911005989#
Martinez Salazar HR, Sumioka H. Sensory System as a Tool to Highlight Information Structure in the Sensorimotor Loop. In: 2nd International Conference on Morphological Computation. 2nd International Conference on Morphological Computation. Venice, Italy; 2011.
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
Christensen A, Ilg W, Giese MA. Spatiotemporal tuning of the facilitation of biological motion perception by concurrent motor execution. J Neurosci [Internet]. 2011 ;31:3493–3499. Available from: http://dx.doi.org/10.1523/JNEUROSCI.4277-10.2011
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
Hauser H, Ijspeert A, Füchslin RM, Pfeifer R, Maass W. Towards a Theoretical Foundation for Morphological Computation with Compliant Bodies. Biological Cybernetics [Internet]. 2011 ;105:355-370. Available from: http://www.igi.tugraz.at/psfiles/209.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

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