ReviewExperimental brain research2026
The equilibrium point hypothesis revisited: why threshold control does not explain human movement.
Review in Experimental brain research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Same geometry, different dynamics: what uncontrolled manifold (UCM) analysis misses about motor control.Experimental brain research · 2026Article
- Mechanisms of Visuomotor Interception.Brain sciences · 2026Review
- Response to "Comments on 'The equilibrium point hypothesis revisited: why threshold control does not explain human movement"'.Experimental brain research · 2026Article
- Comments on "The equilibrium point hypothesis revisited: why threshold control does not explain human movement" (Mangalam and Stergiou, Exp Brain Res., 2026).Experimental brain research · 2026Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The equilibrium point hypothesis (EPH) proposes that movement control arises from shifting referent configurations (λ) that set muscle activation thresholds, with behavior emerging from neuromechanical interactions. Here, we review theoretical, neurophysiological, and computational evidence indicating that, for realistic multi-joint behavior, EPH is under-specified: it does not resolve inverse kinematics/dynamics, impedance regulation, or temporal coordination, and it conflicts with established force-length and force-velocity muscle properties and task-dependent reflex modulation. Perturbation, load, and obstacle-avoidance studies reveal flexible, goal-dependent corrections inconsistent with passive convergence to fixed referent states. Neural data show continuous preparatory and online control of kinematics and dynamics, contradicting EPH's central premise. We conclude that, despite its historical influence and contributions, EPH lacks the mechanistic adequacy required of a contemporary theory of motor control and should be succeeded by biologically grounded frameworks that integrate neural processes, biomechanics, and task-level function across basic and applied domains.
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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 Socratic graph.