Modularity speeds up motor learning by overcoming mechanical bias in musculoskeletal geometry.

ABSTRACT: We can easily learn and perform a variety of movements that fundamentally require complex neuromuscular control. Many empirical findings have demonstrated that a wide range of complex muscle activation patterns could be well captured by the combination of a few functional modules, the so-called muscle synergies. Modularity represented by muscle synergies would simplify the control of a redundant neuromuscular system. However, how the reduction of neuromuscular redundancy through a modular controller contributes to sensorimotor learning remains unclear. To clarify such roles, we constructed a simple neural network model of the motor control system that included three intermediate layers representing neurons in the primary motor cortex, spinal interneurons organized into modules and motoneur

SUBMITTER: Hagio S 

PROVIDER: S-EPMC6228487 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature