000 04418naaaa2200409uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/53806
005 20220220085046.0
020 _a978-2-88919-805-4
020 _a9782889198054
024 7 _a10.3389/978-2-88919-805-4
_cdoi
041 0 _aEnglish
042 _adc
100 1 _aTamar Flash
_4auth
700 1 _aAndrea d'Avella
_4auth
700 1 _aThomas Schack
_4auth
700 1 _aYuri P. Ivanenko
_4auth
700 1 _aMartin Giese
_4auth
245 1 0 _aModularity in motor control: from muscle synergies to cognitive action representation
260 _bFrontiers Media SA
_c2016
300 _a1 electronic resource (792 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _aMastering a rich repertoire of motor behaviors, as humans and other animals do, is a surprising and still poorly understood outcome of evolution, development, and learning. Many degrees-of-freedom, non-linear dynamics, and sensory delays provide formidable challenges for controlling even simple actions. Modularity as a functional element, both structural and computational, of a control architecture might be the key organizational principle that the central nervous system employs for achieving versatility and adaptability in motor control. Recent investigations of muscle synergies, motor primitives, compositionality, basic action concepts, and related work in machine learning have contributed to advance, at different levels, our understanding of the modular architecture underlying rich motor behaviors. However, the existence and nature of the modules in the control architecture is far from settled. For instance, regularity and low-dimensionality in the motor output are often taken as an indication of modularity but could they simply be a byproduct of optimization and task constraints? Moreover, what are the relationships between modules at different levels, such as muscle synergies, kinematic invariants, and basic action concepts? One important reason for the new interest in understanding modularity in motor control from different viewpoints is the impressive development in cognitive robotics. In comparison to animals and humans, the motor skills of today’s best robots are limited and inflexible. However, robot technology is maturing to the point at which it can start approximating a reasonable spectrum of isolated perceptual, cognitive, and motor capabilities. These advances allow researchers to explore how these motor, sensory and cognitive functions might be integrated into meaningful architectures and to test their functional limits. Such systems provide a new test bed to explore different concepts of modularity and to address the interaction between motor and cognitive processes experimentally. Thus, the goal of this Research Topic is to review, compare, and debate theoretical and experimental investigations of the modular organization of the motor control system at different levels. By bringing together researchers seeking to understand the building blocks for coordinating many muscles, for planning endpoint and joint trajectories, and for representing motor and behavioral actions in memory we aim at promoting new interactions between often disconnected research areas and approaches and at providing a broad perspective on the idea of modularity in motor control. We welcome original research, methodological, theoretical, review, and perspective contributions from behavioral, system, and computational motor neuroscience research, cognitive psychology, and cognitive robotics.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/4.0/
_2cc
_4https://creativecommons.org/licenses/by/4.0/
546 _aEnglish
653 _aaction representation
653 _amuscle synergies
653 _aMotor Primitives
653 _amotor learning
653 _acompositionality
653 _aneural control of movement
653 _aIntermittent control
653 _aKinematic invariants
653 _aControl architectures
653 _aRobotics
856 4 0 _awww.oapen.org
_uhttp://journal.frontiersin.org/researchtopic/875/modularity-in-motor-control-from-muscle-synergies-to-cognitive-action-representation
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/53806
_70
_zDOAB: description of the publication
999 _c76968
_d76968