Publications

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Bielefeld University
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
Emmerich C, Reinhart RF, Steil JJ. Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 2013 .
Soltoggio A, Lemme A. Movement Primitives as a Robotic Tool to Interpret Trajectories in Learning-by-doing. International Journal of Automation and Computing [Internet]. 2013 ;10:375-386. Available from: http://goo.gl/3Eiu7V (747.67 KB)
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.
EPFL
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.
Jacobs University
Li J, Jaeger H. Minimal Energy Control of an ESN Pattern Generator. [Internet]. 2011 ;doi:10.1016/j.humov.2010.04.001. Available from: http://www.amarsi-project.eu/system/files/Deliverable_5_1.pdf
Galtier M, Touboul J. Macroscopic Equations Governing Noisy Spiking Neuronal Populations with Linear Synapses. PLOS one. 2013 ;8:e78917. (888.85 KB)
SLF
MacLellan M, Ivanenko YP, Massaad F, Bruijn S, Duysens J, Lacquaniti F. Muscle Activation Patterns are Bilaterally Linked during Split-Belt Treadmill Walking in Humans. J Neurophysiol. 2014 .
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.
University of Ghent
Waegeman T, Hermans M, Schrauwen B. MACOP Modular Architecture for Control with Primitives. Frontiers in Computational Neuroscience. 2013 ;7.
University of Tübingen
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
University of Zurich
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/
Weizmann Institute
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#
Meirovitch Y, Bennequin D, Flash T. Movement decomposition and compositionality based on geometric and kinematic principles. In: Neural control of movement (NCM 2014). Neural control of movement (NCM 2014). Amsterdam, Netherlands; 2014.
WP1-Human-Motor-Primitives
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
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#
Soltoggio A, Lemme A. Movement Primitives as a Robotic Tool to Interpret Trajectories in Learning-by-doing. International Journal of Automation and Computing [Internet]. 2013 ;10:375-386. Available from: http://goo.gl/3Eiu7V (747.67 KB)
MacLellan M, Ivanenko YP, Massaad F, Bruijn S, Duysens J, Lacquaniti F. Muscle Activation Patterns are Bilaterally Linked during Split-Belt Treadmill Walking in Humans. J Neurophysiol. 2014 .
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.
Meirovitch Y, Bennequin D, Flash T. Movement decomposition and compositionality based on geometric and kinematic principles. In: Neural control of movement (NCM 2014). Neural control of movement (NCM 2014). Amsterdam, Netherlands; 2014.
WP2-Compliant-Systems
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.
WP3-Morphological-Computation
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/
WP4-Adaptive-Modules
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
Waegeman T, Hermans M, Schrauwen B. MACOP Modular Architecture for Control with Primitives. Frontiers in Computational Neuroscience. 2013 ;7.
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.
WP5-Learning
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
Emmerich C, Reinhart RF, Steil JJ. Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 2013 .
Galtier M, Touboul J. Macroscopic Equations Governing Noisy Spiking Neuronal Populations with Linear Synapses. PLOS one. 2013 ;8:e78917. (888.85 KB)
WP6-Architectures
Li J, Jaeger H. Minimal Energy Control of an ESN Pattern Generator. [Internet]. 2011 ;doi:10.1016/j.humov.2010.04.001. Available from: http://www.amarsi-project.eu/system/files/Deliverable_5_1.pdf
Waegeman T, Hermans M, Schrauwen B. MACOP Modular Architecture for Control with Primitives. Frontiers in Computational Neuroscience. 2013 ;7.
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.

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