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Ajallooeian M, Sproewitz A, Tuleu A, Ijspeert A. Data-driven Extraction of Drive Functions for Legged Locomotion: A Study on Cheetah-cub Robot. In: AMAM 2013. AMAM 2013. ; 2013. Available from: http://infoscience.epfl.ch/record/185821/files/DriveFunction_MosAjal_AMAM2013_CameraReady.pdf
Ajallooeian M, Tuleu A, Gay S, Pouya S, Ijspeert A, Sprowitz A. Towards modular control for moderately fast locomotion over unperceived rough terrain. In: Dynamic Walking 2013. Dynamic Walking 2013. ; 2013.
Ajallooeian M, Pouya S, Sproewitz A, Ijspeert A. Central Pattern Generators Augmented with Virtual Model Control for Quadruped Rough Terrain Locomotion. In: ; 2013. Available from: http://infoscience.epfl.ch/record/185820/files/icra_ghouldog_cameraready.pdf
Ajallooeian M, Tuleu A, Sproewitz A, Ijspeert A. Data-driven extraction of drive functions for legged locomotion: A study on Cheetah-cub robot. In: 6th International Conference on Adaptive Motion of Animals and Machines, 2013. 6th International Conference on Adaptive Motion of Animals and Machines, 2013. ; 2013.
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.
Ajallooeian M, Gay S, Tuleu A, Sproewitz A, Ijspeert A. Modular Control of Limit Cycle Locomotion over Unperceived Rough Terrain. In: ; 2013. Available from: http://infoscience.epfl.ch/record/187593/files/ajallooeian_cpgvviros_2013_cameraready.pdf
Ajallooeian M, Gay S, Tuleu A, Sprowitz A, Ijspeert A. Modular control of limit cycle locomotion over unperceived rough terrain. 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.
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/
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
Alessandro C, Carbajal JP, d'Avella A. A computational analysis of motor synergies by dynamic response decomposition. Front Comput Neurosci. 2014 ;7:191.
Andrea d'A, Cesqui B, Lacquaniti F. Identifying Muscle Synergies from EMG Decomposition: Approaches, Evidence, and Potential Application to Neurorehabilitation. In: Proceedings of the 2012 International Conference on Neurorehabilitation (ICNR, Toledo, Spain 2012): Converging Clinical and Engineering Research on Neurorehabilitation. Proceedings of the 2012 International Conference on Neurorehabilitation (ICNR, Toledo, Spain 2012): Converging Clinical and Engineering Research on Neurorehabilitation. BERLIN HEIDELBERG – DEU: Springer-Verlag; 2012.
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Calinon S, Li Z, Alizadeh T, Tsagarakis NG, Caldwell DG. Statistical dynamical systems for skills acquisition in humanoids. In: Proc. IEEE Intl Conf. on Humanoid Robots (Humanoids), p.323-329. Proc. IEEE Intl Conf. on Humanoid Robots (Humanoids), p.323-329. Osaka, Japan; 2012. Available from: http://www.researchgate.net/publication/234154957_Statistical_dynamical_systems_for_skills_acquisition_in_humanoids/file/32bfe50f99c7f06a98.pdf (1.63 MB)
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
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
Cappellini G, Ivanenko YP, Dominici N, Poppele RR, Lacquaniti F. Migration of motor pool activity in the spinal cord reflects body mechanics in human locomotion. J Neurophysiol. 2010 ;104:3064-73.
Cesqui B, Mezzetti M, Lacquaniti F, d'Avella A. Gaze behavior in one-handed catching and its relation with interceptive performance: What the eyes can't tell. PLoS ONE. 2014 .
Cesqui B, van de Langenberg R, Lacquaniti F, d'Avella A. A novel method for measuring gaze orientation in space in unrestrained head conditions. Journal of Vision [Internet]. 2013 ;13. Available from: http://www.davella.eu/amarsi-slf/Cesqui_et_al_J_Vis_2013_postprint.pdf
Cesqui B, d'Avella A, Portone A, Lacquaniti F. Catching a Ball at the Right Time and Place: Individual Factors Matter. PLoS One. 2012 ;7:e31770.
Chiovetto E, Mukovskiy A, Reinhart RF, Khansari-Zadeh SMohammad, Billard A, Steil JJ, Giese MA. Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot. In: European Conference on Visual Perception (ECVP 2014); 2014. Available from: http://www.perceptionweb.com/abstract.cgi?id=v1412968
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, 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
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
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
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
Christensen A, Giese MA, Sultan F, Mueller OM, Goericke SL, Ilg W, Timmann D. An Intact Action-Perception Coupling Depends on the Integrity of the Cerebellum. The Journal of Neuroscience [Internet]. 2014 ;34:6707-6716. Available from: http://www.jneurosci.org/content/34/19/6707.abstract
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
Colasanto L, Tsagarakis NG, Caldwell DG. A Compact Model for the Compliant Humanoid Robot COMAN. In: BioRob. BioRob. ; 2012.
Colasanto L, Tsagarakis NG, Li Z, Caldwell DG. Internal Model Control for Improving the Gait tracking of a Compliant Humanoid Robot. In: IROS. IROS. ; 2012.
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D K, Karklinsky M, Flash T, Shmuelof L. The building blocks of curved trajectories: studying the effect of shortened preparation time on movement planning and execution. In: ISFN. ISFN. Eilat, Israel; 2013.
d'Avella A, Portone A, Lacquaniti F. Superposition and modulation of muscle synergies for reaching in response to a change in target location. J Neurophysiol [Internet]. 2011 ;106:2796-812. Available from: http://jn.physiology.org/content/106/6/2796.long
d'Avella A, Cesqui B, Portone A, Lacquaniti F. A new ball launching system with controlled flight parameters for catching experiments. J Neurosci Methods [Internet]. 2011 ;196:264-75. Available from: http://www.davella.eu/amarsi-slf/d'Avella_et_al_J_Neurosci_Methods_2011_postprint.pdf
d'Avella A, Lacquaniti F. Control of reaching movements by muscle synergy combinations. Frontiers in Computational Neuroscience. 2013 ;7:42.
Dallali H, Kormushev P, Li Z, Caldwell DG. On Global Optimization of Walking Gaits for the Compliant Humanoid Robot, COMAN Using Reinforcement Learning. Journal of Cybernetics and Information Technologies. 2012 ;vol. 12, no. 3:pp. 39-52.
Dallali H, Mosadeghzad M, Medrano-Cerda G, Loc V-G, Tsagarakis NG, Caldwell DG, Gesino M. Designing a High Performance Humanoid Robot Based on Dynamic Simulation. In: European Modelling Symposium. European Modelling Symposium. ; 2013. Available from: http://www.amarsi-project.eu/sites/www.amarsi-project.eu/files/EMS2013_proceeding.pdf (459.8 KB)
Dallali H, Mosadeghzad M, Medrano-Cerda G, Docquier N, Kormushev P, Tsagarakis NG, Li Z, Caldwell DG. Development of a Dynamic Simulator for a Compliant Human-oid Robot Based on a Symbolic Multibody Approach. In: IEEE International Conference on Mechatronics. IEEE International Conference on Mechatronics. ; 2013. Available from: http://kormushev.com/papers/Dallali_ICM-2013.pdf
Dayan E, Sella I, Mukovskiy A, Douek Y, Giese MA, Malach R, Flash T. The Default Mode Network Differentiates Biological From Non-Biological Motion. Cerebral Cortex [Internet]. 2014 . Available from: http://cercor.oxfordjournals.org/content/early/2014/09/12/cercor.bhu199.abstract
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
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
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.
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
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#
Dominici N, Ivanenko YP, Cappellini G, d'Avella A, Mondi' V, Chicchese M, Fabiano A, Sile T, Di Paolo A, Giannini C, et al. Locomotor primitives in newborn babies and their development. Science [Internet]. 2011 ;334:997-9. Available from: http://xa.yimg.com/kq/groups/20024820/1586079137/name/Locomotor%2BPrimitives%2Bin%2BNewborn.pdf
Dongming G, Tsagarakis NG, Dai JS, Caldwell DG, Seneviratne L. Stiffness Design for a Spatial Three Degrees of Freedom Serial Compliant Manipulator Based on Impact Configuration Decomposition. ASME Transactinos on Mechanisms Robotics. 2013 .
D’Andola M, Cesqui B, Portone A, Fernandez L, Lacquaniti F, d'Avella A. Spatiotemporal characteristics of muscle patterns for ball catching. Frontiers in Computational Neuroscience [Internet]. 2013 ;7:107. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3735981/
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Emmerich C, Reinhart RF, Steil JJ. Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 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
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.
Endres DM, Meirovitch Y, Flash T, Giese MA. Segmenting sign language into motor primitives with Bayesian binning. Frontiers in Computational Neuroscience [Internet]. 2013 ;7. Available from: http://www.frontiersin.org/computational_neuroscience/10.3389/fncom.2013.00068/abstract
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
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
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Flash T, Meirovitch Y, Barliya A. Models of human movement: Trajectory planning and inverse kinematics studies. Robotics and Autonomous Systems [Internet]. 2013 ;61:330-339. Available from: http://www.sciencedirect.com/science/article/pii/S0921889012001741#
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
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)
Frank C, Land W, Schack T. Mental representation and learning: The influence of practice on the development of mental representation structure in complex action. Psychology of Sport & Exercise [Internet]. 2013 . Available from: http://www.sciencedirect.com/science/article/pii/S1469029212001392
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
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Galtier MN, Marini C, Wainrib G, Jaeger H. Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes. Neural Networks [Internet]. 2014 ;56:10-21. Available from: http://arxiv.org/abs/1402.1613
Galtier M, Touboul J. Macroscopic Equations Governing Noisy Spiking Neuronal Populations with Linear Synapses. PLOS one. 2013 ;8:e78917. (888.85 KB)
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
Gan DM, Tsagarakis NG, Dai JS, Caldwell DG. Joint Stiffness Tuning for Compliant Robots: Protecting the Robot under Accidental Impacts. In: 13th World Congress in Mechanism and Machine Science,2011. 13th World Congress in Mechanism and Machine Science,2011. ; 2011. Available from: http://somim.org.mx/conference_proceedings/pdfs/A23/A23_501.pdf
Gan DM, Tsagarakis NG, Dai JS, Caldwell DG. Stiffness Design Tuning for Compliant Robots: Protecting the Robot under Accidental Impacts. In: 13th World Congress in Mechanism and Machine Science. 13th World Congress in Mechanism and Machine Science. Washington, DC; 2011.
Gaspers J, Panzner M, Lemme A, Cimiano P, Rohlfing KJ, Wrede S. A multi-modal corpus for evaluation of computational models for (grounded) language acquisition process. In: EACL, Workshop on Cognitive Aspects of Computer Language Learning. EACL, Workshop on Cognitive Aspects of Computer Language Learning. ; 2014.
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.
Gentner R, Edmunds T, Pai DK, d'Avella A. Robustness of muscle synergies during visuomotor adaptation. Frontiers in Computational Neuroscience [Internet]. 2013 ;7:120. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3759787/
Giese MA. Biological and Body Motion Perception. The Oxford Handbook of Perceptual Organisation (Forthcoming) [Internet]. 2014 . Available from: http://www.oxfordhandbooks.com/10.1093/oxfordhb/9780199686858.001.0001/oxfordhb-9780199686858-e-008
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
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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
N. Harpaz K, Flash T, I. Dinstein journal= Neuron. Scale-Invariant Movement Encoding in the Human Motor System. Neuron. 2014 ;18:452-462.
Harris H, Meirovitch Y, Dayan E, Arieli A, Flash T. Event-related desynchronization during motion observation reflects kinematic regularities. In: Neural control of movement (NCM 2014). Neural control of movement (NCM 2014). Amsterdam, Netherlands; 2014.
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/
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
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
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
E. Hoffman M, Perrin N, Tsagarakis NG, Caldwell DG. Upper limb compliant strategy exploiting external physical constraints for humanoid fall avoidance. In: IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots. ; 2013.
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Ijspeert A, Nakanishi J, Hoffman H, Pastor P, Schaal S. Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors. Neural Computation. 2013 ;25:328-373.
Ivanchev J. Fast time scale modulation of pattern generators realized by Echo State Networks.; 2013. Available from: http://minds.jacobs-university.de/sites/default/files/uploads/papers/2561_Ivanchev2013.pdf
Ivanenko YP, Cappellini G, Solopova I, Grishin A, Maclellan MJ, Poppele RR, Lacquaniti F. Plasticity and modular control of locomotor patterns in movement disorders. In: Proceedings of the 2012 International Conference on Neurorehabilitation (ICNR, Toledo, Spain 2012): Converging Clinical and Engineering Research on Neurorehabilitation. Proceedings of the 2012 International Conference on Neurorehabilitation (ICNR, Toledo, Spain 2012): Converging Clinical and Engineering Research on Neurorehabilitation. ; 2012.
Ivanenko YP, Dominici N, Daprati E, Nico D, Cappellini G, Lacquaniti F. Locomotor body scheme. Human Movement Science [Internet]. 2011 ;30:341-51. Available from: http://www.davella.eu/amarsi-slf/Ivanenko_et_al_HMS_2011_postprint.pdf
Ivanenko YP, Labini FS, Cappellini G, Macellari V, McIntyre J, Lacquaniti F. Gait transitions in simulated reduced gravity. J Appl Physiol [Internet]. 2011 ;110:781-8. Available from: http://jap.physiology.org/content/110/3/781.full
Ivanenko YP, Dominici N, Cappellini G, Di Paolo A, Giannini C, Poppele RR, Lacquaniti F. Changes in the spinal segmental motor output for stepping during development from infant to adult. J Neurosci [Internet]. 2013 ;33:3025-36a. Available from: http://www.davella.eu/amarsi-slf/Ivanenko_et_al_J_Neurosci_2013_postprint.pdf
Ivanenko YP, Wright G, St Giorge R, Gurfinkel V. Trunk orientation, stability, and quadrupedalism. Frontiers in Movement Disorders [Internet]. 2013 ;4:20. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596858/
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Jaeger H. Controlling Recurrent Neural Networks by Conceptors.; 2014.
Jaeger H. Conceptors: an easy introduction. CoRR [Internet]. 2014 ;abs/1406.2671. Available from: http://arxiv.org/abs/1406.2671
Jones BH, Soltoggio A, Sendoff B, Yao X. Evolution of Neural Symmetry and its Coupled Alignment to Body Plan Morphology. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 11). Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 11). ; 2011. Available from: http://andrea.soltoggio.net/data/papers/gecco2011_JonesSoltoggioSendhoffYao.pdf
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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 .
Karklinsky M, Flash T. The 2/3 power law originates in the motor plan: a motor imagery study. In: Neural control of movement (NCM 2014). Neural control of movement (NCM 2014). Amsterdam, Netherlands; 2013.
Karklinsky M, Flash T. The 2/3 power law originates in the motor plan. In: Computational motor Control workshop 9. Computational motor Control workshop 9. Beer-sheva, Isreal.; 2013.
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 .
Khansari-Zadeh SM, Billard A. Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models. Robotics, IEEE Transactions on [Internet]. 2011 ;27:943 -957. Available from: http://lasa.epfl.ch/publications/publications.php
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
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
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
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
Khansari-Zadeh SMohammad, Billard A. Learning Control Lyapunov Function to Ensure Stability of Dynamical System-based Robot Reaching Motions. Robotics and Autonomous Systems. 2014 .
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
Kim S, Billard A. Estimating the non-linear dynamics of free-flying objects. Robotics and Autonomous Systems. 2012 :–.
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
Kim S, Billard A. Estimating the non-linear dynamics of free-flying objects. Robotics and Autonomous Systems. 2012 ;60:1108–-1122.
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
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
Kohen D, Karklinsky M, Meirovitch Y, Flash T, Shmuelof L. Shortening preparation time for curved trajectories reveals an ongoing control of movement segments. In: Neural control of movement (NCM 2014). Neural control of movement (NCM 2014). Amsterdam, Netherlands; 2014.
Kormushev P, Ugurlu B, Calinon S, Tsagarakis NG, Caldwell DG. Bipedal Walking Energy Minimization by Reinforcement Learning with Evolving Policy Paramerization. In: International Conference on Intelligent Robots and Systems (IROS). International Conference on Intelligent Robots and Systems (IROS). San Francisco, California; 2011. Available from: http://programming-by-demonstration.org/papers/Kormushev-IROS2011.pdf
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