Stochastic order parameter equation of isometric force production revealed by drift-diffusion estimates

T.D. Frank, R. Friedrich, P.J. Beek

    Research output: Contribution to JournalArticleAcademicpeer-review

    Abstract

    We address two questions that are central to understanding human motor control variability: what kind of dynamical components contribute to motor control variability (i.e., deterministic and/or random ones), and how are those components structured? To this end, we derive a stochastic order parameter equation for isometric force production from experimental data using drift-diffusion estimates. We show that the force variability increases with the required force output because of a decrease of deterministic stability and an accompanying increase of noise intensity. A structural analysis reveals that the deterministic component consists of a linear control loop, while the random component involves a noise source that scales with force output. In addition, we present evidence for the existence of a subject-independent overall noise level of human isometric force production. © 2006 The American Physical Society.
    Original languageEnglish
    Pages (from-to)Art. No. 51905
    JournalPhysical Review E
    Volume74
    DOIs
    Publication statusPublished - 2006

    Fingerprint

    Dive into the research topics of 'Stochastic order parameter equation of isometric force production revealed by drift-diffusion estimates'. Together they form a unique fingerprint.

    Cite this