Task constraints and minimization of muscle effort result in a small number of muscle synergies during gait
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[1] D. Sutherland. The evolution of clinical gait analysis. Part II kinematics. , 2002, Gait & posture.
[2] Matthew C. Tresch,et al. The number and choice of muscles impact the results of muscle synergy analyses , 2013, Front. Comput. Neurosci..
[3] Stacie A. Chvatal,et al. Decomposing Muscle Activity in Motor TasksMethods and Interpretation , 2010 .
[4] M G Pandy,et al. Static and dynamic optimization solutions for gait are practically equivalent. , 2001, Journal of biomechanics.
[5] Daniele Borzelli,et al. Effort minimization and synergistic muscle recruitment for three-dimensional force generation , 2013, Front. Comput. Neurosci..
[6] Emanuel Todorov,et al. Structured variability of muscle activations supports the minimal intervention principle of motor control. , 2009, Journal of neurophysiology.
[7] Lena H. Ting,et al. Optimization of Muscle Activity for Task-Level Goals Predicts Complex Changes in Limb Forces across Biomechanical Contexts , 2012, PLoS Comput. Biol..
[8] F. Lacquaniti,et al. Temporal components of the motor patterns expressed by the human spinal cord reflect foot kinematics. , 2003, Journal of neurophysiology.
[9] Ilse Jonkers,et al. The flexion synergy, mother of all synergies and father of new models of gait , 2013, Front. Comput. Neurosci..
[10] Francesco Lacquaniti,et al. Plasticity and modular control of locomotor patterns in neurological disorders with motor deficits , 2013, Front. Comput. Neurosci..
[11] Andrea d'Avella,et al. Differences in Adaptation Rates after Virtual Surgeries Provide Direct Evidence for Modularity , 2013, The Journal of Neuroscience.
[12] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[13] I Jonkers,et al. Kalman smoothing improves the estimation of joint kinematics and kinetics in marker-based human gait analysis. , 2008, Journal of biomechanics.
[14] F.E. Zajac,et al. An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures , 1990, IEEE Transactions on Biomedical Engineering.
[15] Francisco J. Valero Cuevas,et al. Challenges and New Approaches to Proving the Existence of Muscle Synergies of Neural Origin , 2012, PLoS Comput. Biol..
[16] Francesco Lacquaniti,et al. Can modular strategies simplify neural control of multidirectional human locomotion? , 2014, Journal of neurophysiology.
[17] Richard R Neptune,et al. Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke. , 2010, Journal of neurophysiology.
[18] Wynne A. Lee,et al. Neuromotor synergies as a basis for coordinated intentional action. , 1984, Journal of motor behavior.
[19] J. Duysens. Reflex control of locomotion as revealed by stimulation of cutaneous afferents in spontaneously walking premammillary cats. , 1977, Journal of neurophysiology.
[20] Richard R Neptune,et al. The influence of merged muscle excitation modules on post-stroke hemiparetic walking performance. , 2013, Clinical biomechanics.
[21] Ayman Habib,et al. OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement , 2007, IEEE Transactions on Biomedical Engineering.
[22] W. Rymer,et al. Endpoint force fluctuations reveal flexible rather than synergistic patterns of muscle cooperation. , 2008, Journal of neurophysiology.
[23] C. Vaughan,et al. Phasic behavior of EMG signals during gait: Use of multivariate statistics. , 1993, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.
[24] Sergey N Markin,et al. Motoneuronal and muscle synergies involved in cat hindlimb control during fictive and real locomotion: a comparison study. , 2012, Journal of neurophysiology.
[25] Francis L. Merat,et al. Introduction to robotics: Mechanics and control , 1987, IEEE J. Robotics Autom..
[26] F. Lacquaniti,et al. Five basic muscle activation patterns account for muscle activity during human locomotion , 2004, The Journal of physiology.
[27] Arun Ramakrishnan,et al. A simple experimentally based model using proprioceptive regulation of motor primitives captures adjusted trajectory formation in spinal frogs. , 2010, Journal of neurophysiology.
[28] F. Zajac,et al. A planar model of the knee joint to characterize the knee extensor mechanism. , 1989, Journal of biomechanics.
[29] Lena H Ting,et al. A limited set of muscle synergies for force control during a postural task. , 2005, Journal of neurophysiology.
[30] Andrea d'Avella,et al. Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets. , 2006, Journal of neurophysiology.
[31] M. Tresch,et al. The case for and against muscle synergies , 2022 .
[32] A. Patla. Some characteristics of EMG patterns during locomotion: implications for the locomotor control process. , 1985, Journal of motor behavior.
[33] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[34] A. d’Avella,et al. Locomotor Primitives in Newborn Babies and Their Development , 2011, Science.
[35] Richard R Neptune,et al. Three-dimensional modular control of human walking. , 2012, Journal of biomechanics.
[36] Christopher L. Vaughan,et al. Fundamental patterns of bilateral muscle activity in human locomotion , 1995, Biological Cybernetics.
[37] F. Lacquaniti,et al. Coordination of Locomotion with Voluntary Movements in Humans , 2005, The Journal of Neuroscience.
[38] Andrea d'Avella,et al. Modularity for Sensorimotor Control: Evidence and a New Prediction , 2010, Journal of motor behavior.
[39] Jonathan P. Walter,et al. Muscle synergies may improve optimization prediction of knee contact forces during walking. , 2014, Journal of biomechanical engineering.
[40] I Jonkers,et al. A physiology-based inverse dynamic analysis of human gait using sequential convex programming: a comparative study , 2012, Computer methods in biomechanics and biomedical engineering.
[41] Richard R Neptune,et al. Modular control of human walking: a simulation study. , 2009, Journal of biomechanics.
[42] I Jonkers,et al. A physiology based inverse dynamic analysis of human gait: potential and perspectives , 2009, Computer methods in biomechanics and biomedical engineering.
[43] R. Crowninshield,et al. A physiologically based criterion of muscle force prediction in locomotion. , 1981, Journal of biomechanics.
[44] F. Zajac. Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. , 1989, Critical reviews in biomedical engineering.