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Henrik Gollee

Researcher at University of Glasgow

Publications -  79
Citations -  1729

Henrik Gollee is an academic researcher from University of Glasgow. The author has contributed to research in topics: Functional electrical stimulation & Intermittent control. The author has an hindex of 22, co-authored 76 publications receiving 1551 citations. Previous affiliations of Henrik Gollee include University of Melbourne & Daimler AG.

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Intermittent control: a computational theory of human control

TL;DR: It is shown that event-driven intermittent control provides a framework to explain the behaviour of the human operator under a wider range of conditions than continuous control, and explains why the intermittent control hypothesis is consistent with the continuous control hypothesis for certain experimental conditions.
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Human control of an inverted pendulum: Is continuous control necessary? Is intermittent control effective? Is intermittent control physiological?

TL;DR: Serial ballistic control, limited to an optimum rate, provides a new physiological paradigm for interpreting sustained control of posture and movement.
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On the interpretation of local models in blended multiple model structures.

TL;DR: In this paper, the authors show that the interpretation of local models, in the context of multiple model structures, is not as straightforward as it might initially appear, and they argue that the blended multiple model system can be interpreted in two ways -either as an interpolation of linearisations, or as a full parameterisation of the system.
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New results in feedback control of unsupported standing in paraplegia

TL;DR: The results presented here show that the new strategy allows much longer periods of unsupported standing in paraplegia, and includes a simplified control structure and a different controller design method.
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An SSVEP-Based Brain–Computer Interface for the Control of Functional Electrical Stimulation

TL;DR: A brain-computer interface based on steady-state visual-evoked potentials (SSVEPs) is combined with a functional electrical stimulation (FES) system to allow the user to control stimulation settings and parameters and indicates that the system could be used to control FES-based neuroprostheses with a high degree of accuracy and robustness.