ReviewPhysics of life reviews2019
Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics.
Review in Physics of life reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed, 34 citations in OpenAlex.
- Neural Associative Skill Memories for Safer Robotics and Modeling Human Sensorimotor Repertoires.Neural computation · 2025Article
- Mutual human-robot understanding for a robot-enhanced society: the crucial development of shared embodied cognition.Frontiers in artificial intelligence · 2025Review
- An active inference account of stuttering behavior.Frontiers in human neuroscience · 2025Article
- Neural Simulation of Actions for Serpentine Robots.Biomimetics (Basel, Switzerland) · 2024Article
- Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents.Frontiers in computational neuroscience · 2024Article
- Biologically inspired robotic perception-action for soft fruit harvesting in vertical growing environments.Precision agriculture · 2023Article
- The computational neurology of movement under active inference.Brain : a journal of neurology · 2021Article
- A Vexing Question in Motor Control: The Degrees of Freedom Problem.Frontiers in bioengineering and biotechnology · 2021Article
- Neural correlates of proprioceptive upper limb position matching.Human brain mapping · 2019Article
- Control of goal-directed movements within (or beyond) reach?: Comment on "Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics" by Vishwanathan Mohan et al.Physics of life reviews · 2019Article
- Social Cognition for Human-Robot Symbiosis-Challenges and Building Blocks.Frontiers in neurorobotics · 2018Review
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging trends in neurosciences are providing converging evidence that cortical networks in predominantly motor areas are activated in several contexts related to 'action' that do not cause any overt movement. Indeed for any complex body, human or embodied robot inhabiting unstructured environments, the dual processes of shaping motor output during action execution and providing the self with information related to feasibility, consequence and understanding of potential actions (of oneself/others) must seamlessly alternate during goal-oriented behaviors, social interactions. While prominent approaches like Optimal Control, Active Inference converge on the role of forward models, they diverge on the underlying computational basis. In this context, revisiting older ideas from motor control like the Equilibrium Point Hypothesis and synergy formation, this article offers an alternative perspective emphasizing the functional role of a 'plastic, configurable' internal representation of the body (body-schema) as a critical link enabling the seamless continuum between motor control and imagery. With the central proposition that both "real and imagined" actions are consequences of an internal simulation process achieved though passive goal-oriented animation of the body schema, the computational/neural basis of muscleless motor synergies (and ensuing simulated actions without movements) is explored. The rationale behind this perspective is articulated in the context of several interdisciplinary studies in motor neurosciences (for example, intracranial depth recordings from the parietal cortex, FMRI studies highlighting a shared cortical basis for action 'execution, imagination and understanding'), animal cognition (in particular, tool-use and neuro-rehabilitation experiments, revealing how coordinated tools are incorporated as an extension to the body schema) and pertinent challenges towards building cognitive robots that can seamlessly "act, interact, anticipate and understand" in unstructured natural living spaces.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.