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The Effects of Motor Modularity on Performance, Learning, and Generalizability in Upper-Extremity Reaching: a Computational Analysis

https://doi.org/10.1101/804096
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Cortical population activity within a preserved neural manifold underlies multiple motor behaviors
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Shared and specific muscle synergies in natural motor behaviors
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Simplified and effective motor control based on muscle synergies to exploit musculoskeletal dynamics
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Motor primitives are determined in early development and are then robustly conserved into adulthood
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Benchmarking of dynamic simulation predictions in two software platforms using an upper limb musculoskeletal model
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Decomposing Muscle Activity in Motor TasksMethods and Interpretation
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Modularity speeds up motor learning by overcoming mechanical bias in musculoskeletal geometry
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A spiking neural model of adaptive arm control
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Motor primitive discovery
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OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement
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Trajectory Optimization for Full-Body Movements with Complex Contacts
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Adjustment of Muscle Mechanics Model Parameters to Simulate Dynamic Contractions in Older Adults
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Locomotor Primitives in Newborn Babies and Their Development
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Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons
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Synthesis of biologically realistic human motion using joint torque actuation
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Robustness of muscle synergies underlying three-dimensional force generation at the hand in healthy humans
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Deletions of Rhythmic Motoneuron Activity During Fictive Locomotion and Scratch Provide Clues to the Organization of the Mammalian Central Pattern Generator
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Matrix Factorization Algorithms for the Identification of Muscle Synergies: Evaluation on Simulated and Experimental Data Sets
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Common muscle synergies for control of center of mass and force in nonstepping and stepping postural behaviors
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Identifying Representative Synergy Matrices for Describing Muscular Activation Patterns During Multidirectional Reaching in the Horizontal Plane
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Muscle Synergy Organization Is Robust Across a Variety of Postural Perturbations
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Distinct neural circuits for control of movement vs. holding still
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Subject-Specific Muscle Synergies in Human Balance Control Are Consistent Across Different Biomechanical Contexts
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A Simple Experimentally Based Model Using Proprioceptive Regulation of Motor Primitives Captures Adjusted Trajectory Formation in Spinal Frogs
inferredcites →https://doi.org/10.1152/jn.01377.2007openalex-snapshot
Modulation of Phasic and Tonic Muscle Synergies With Reaching Direction and Speed
inferredcites →https://doi.org/10.1371/journal.pcbi.1004737openalex-snapshot
Muscle Synergies Heavily Influence the Neural Control of Arm Endpoint Stiffness and Energy Consumption
inferredcites →https://doi.org/10.1371/journal.pcbi.1006223openalex-snapshot
OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement
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Predicting gait adaptations due to ankle plantarflexor muscle weakness and contracture using physics-based musculoskeletal simulations
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Differences in Adaptation Rates after Virtual Surgeries Provide Direct Evidence for Modularity
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The coordination of arm movements: an experimentally confirmed mathematical model
inferredcites →https://doi.org/10.1523/jneurosci.0830-06.2006openalex-snapshot
Control of Fast-Reaching Movements by Muscle Synergy Combinations
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Individual Premotor Drive Pulses, Not Time-Varying Synergies, Are the Units of Adjustment for Limb Trajectories Constructed in Spinal Cord
inferredcites →https://doi.org/10.1523/jneurosci.4302-14.2015openalex-snapshot
Representation of Muscle Synergies in the Primate Brain
inferredcites →https://doi.org/10.1523/jneurosci.5481-11.2012openalex-snapshot
Flexible Cortical Control of Task-Specific Muscle Synergies
inferredcites →https://doi.org/10.1523/jneurosci.5894-08.2010openalex-snapshot
A Neural Basis for Motor Primitives in the Spinal Cord
inferredcites →https://doi.org/10.3389/fbioe.2016.00077openalex-snapshot
Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions
inferredcites →https://doi.org/10.3389/fbioe.2017.00062openalex-snapshot
Muscle Synergies-Based Characterization and Clustering of Poststroke Patients in Reaching Movements
inferredcites →https://doi.org/10.3389/fncom.2013.00019openalex-snapshot
Are muscle synergies useful for neural control?
inferredcites →https://doi.org/10.3389/fncom.2013.00042openalex-snapshot
Control of reaching movements by muscle synergy combinations
inferredcites →https://doi.org/10.3389/fncom.2013.00043openalex-snapshot
Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives
inferredcites →https://doi.org/10.3389/fncom.2013.00048openalex-snapshot
Common muscle synergies for balance and walking
inferredcites →https://doi.org/10.3389/fncom.2013.00051openalex-snapshot
The neural origin of muscle synergies
inferredcites →https://doi.org/10.3389/fncom.2013.00120openalex-snapshot
Robustness of muscle synergies during visuomotor adaptation
inferredcites →https://doi.org/10.3389/fncom.2014.00115openalex-snapshot
Task constraints and minimization of muscle effort result in a small number of muscle synergies during gait
inferredcites →https://doi.org/10.3389/fncom.2016.00007openalex-snapshot
Suboptimal Muscle Synergy Activation Patterns Generalize their Motor Function across Postures
inferredcites →https://doi.org/10.48550/arxiv.1509.02971openalex-snapshot
Continuous control with deep reinforcement learning
inferredcites →https://doi.org/10.48550/arxiv.1703.03864openalex-snapshot
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
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High-fidelity musculoskeletal modeling reveals that motor planning variability contributes to the speed-accuracy tradeoff
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