ReviewFrontiers in systems neuroscience2021
Understanding and Synergy: A Single Concept at Different Levels of Analysis?
Review in Frontiers in systems neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 21 citations in OpenAlex.
- Early skill learning is shaped by the offline emergence of expert synergies.Current biology : CB · 2026Article
- Characterization of Muscle Synergies During Activities of Daily Living Using Surface EMG: A Functional Reference for Neuromuscular Assessment.Journal of clinical medicine · 2026Article
- Expert Motor Synergies Emerge Predominantly Offline During Early Skill Learning.bioRxiv : the preprint server for biology · 2026Article
- Editorial: Neurobiological foundations of cognition and progress toward artificial general intelligence.Frontiers in systems neuroscience · 2026Article
- Muscle synergy-driven ensemble learning framework for individualized stroke gait rehabilitation.Scientific reports · 2025Article
- Biokinetic Profiles in Patellofemoral Pain Patients During a Step-Down Task: An Unsupervised Machine Learning Approach.Orthopaedic journal of sports medicine · 2025Article
- Proprioceptive Resonance and Multimodal Semiotics: Readiness to Act, Embodied Cognition, and the Dynamics of Meaning.NeuroSci · 2025Article
- Next-Generation Neurotechnologies Inspired by Motor Primitive Model for Restoring Human Natural Movement.Research (Washington, D.C.) · 2025Review
- The Volitional Control of Individual Motor Units Is Constrained within Low-Dimensional Neural Manifolds by Common Inputs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Onion skin is not a universal firing pattern for spinal motoneurons: simulation study.Journal of neurophysiology · 2024Article
- Infant vocal productions coincide with body movements.Developmental science · 2024Article
- Does muscle fatigue change motor synergies at different levels of neuromotor control?Frontiers in human neuroscience · 2024Article
- Common synaptic input, synergies and size principle: Control of spinal motor neurons for movement generation.The Journal of physiology · 2023Review
- Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor.Sensors (Basel, Switzerland) · 2022Article
- Situational Understanding in the Human and the Machine.Frontiers in systems neuroscience · 2021Article
- Neurodevelopmental trajectories from birth to childhood and their impairments: insights from passive, spontaneous, and locomotor-like movements.Frontiers in neurologyReview
Corrections and comments
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Authors and funding
1 author at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological systems differ from the inanimate world in their behaviors ranging from simple movements to coordinated purposeful actions by large groups of muscles, to perception of the world based on signals of different modalities, to cognitive acts, and to the role of self-imposed constraints such as laws of ethics. Respectively, depending on the behavior of interest, studies of biological objects based on laws of nature (physics) have to deal with different salient sets of variables and parameters. Understanding is a high-level concept, and its analysis has been linked to other high-level concepts such as "mental model" and "meaning". Attempts to analyze understanding based on laws of nature are an example of the top-down approach. Studies of the neural control of movements represent an opposite, bottom-up approach, which starts at the interface with classical physics of the inanimate world and operates with traditional concepts such as forces, coordinates, etc. There are common features shared by the two approaches. In particular, both assume organizations of large groups of elements into task-specific groups, which can be described with only a handful of salient variables. Both assume optimality criteria that allow the emergence of families of solutions to typical tasks. Both assume predictive processes reflected in anticipatory adjustments to actions (motor and non-motor). Both recognize the importance of generating dynamically stable solutions. The recent progress in studies of the neural control of movements has led to a theory of hierarchical control with spatial referent coordinates for the effectors. This theory, in combination with the uncontrolled manifold hypothesis, allows quantifying the stability of actions with respect to salient variables. This approach has been used in the analysis of motor learning, changes in movements with typical and atypical development and with aging, and impaired actions by patients with various neurological disorders. It has been developed to address issues of kinesthetic perception. There seems to be hope that the two counter-directional approaches will meet and result in a single theoretical scheme encompassing biological phenomena from figuring out the best next move in a chess position to activating motor units appropriate for implementing that move on the chessboard.
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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.