The Haken–Kelso–Bunz (HKB) model: from matter to movement to mind

Kelso, J. A. Scott

doi:10.1007/s00422-021-00890-w

Cited by 35 publications

(13 citation statements)

References 190 publications

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“…They act at all levels governing, in turn, the systems' behavior [33,66]. While computer scientists build programs that tell circuits what to do, nature creates synergies [67,68]. In EP, it is common to propose conceptual models where the primary regulators and programmers are the Central Nervous System (CNS) (see, e.g., [9,69]) or the DNA.…”

Section: Biological Intelligence and General Principles Of Complex Ad...mentioning

confidence: 99%

Network Physiology of Exercise: Beyond Molecular and Omics Perspectives

et al. 2022

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Molecular Exercise Physiology and Omics approaches represent an important step toward synthesis and integration, the original essence of Physiology. Despite the significant progress they have introduced in Exercise Physiology (EP), some of their theoretical and methodological assumptions are still limiting the understanding of the complexity of sport-related phenomena. Based on general principles of biological evolution and supported by complex network science, this paper aims to contrast theoretical and methodological aspects of molecular and network-based approaches to EP. After explaining the main EP challenges and why sport-related phenomena cannot be understood if reduced to the molecular level, the paper proposes some methodological research advances related to the type of studied variables and measures, the data acquisition techniques, the type of data analysis and the assumed relations among physiological levels. Inspired by Network Physiology, Network Physiology of Exercise provides a new paradigm and formalism to quantify cross-communication among diverse systems across levels and time scales to improve our understanding of exercise-related phenomena and opens new horizons for exercise testing in health and disease.

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Section: Biological Intelligence and General Principles Of Complex Ad...mentioning

confidence: 99%

Network Physiology of Exercise: Beyond Molecular and Omics Perspectives

et al. 2022

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“…Haken et al (1985) compared left and right hand movements to a coupled non-linear oscillator. In so doing, they developed what came to be known as the HKB model, which could make robust predictions concerning a range of bimanual coordination patterns (for full review, see Kelso, 2021). One of the implications of this model was that it brought to light the importance of movement topology (McGinnis and Newell, 1982;Schmidt and Lee, 2018).…”

Section: Movement Topologymentioning

confidence: 99%

A brief review of motor imagery and bimanual coordination

Sisti

Beebe²,

Bishop³

et al. 2022

Front. Hum. Neurosci.

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Motor imagery is increasingly being used in clinical settings, such as in neurorehabilitation and brain computer interface (BCI). In stroke, patients lose upper limb function and must re-learn bimanual coordination skills necessary for the activities of daily living. Physiotherapists integrate motor imagery with physical rehabilitation to accelerate recovery. In BCIs, users are often asked to imagine a movement, often with sparse instructions. The EEG pattern that coincides with this cognitive task is captured, then used to execute an external command, such as operating a neuroprosthetic device. As such, BCIs are dependent on the efficient and reliable interpretation of motor imagery. While motor imagery improves patient outcome and informs BCI research, the cognitive and neurophysiological mechanisms which underlie it are not clear. Certain types of motor imagery techniques are more effective than others. For instance, focusing on kinesthetic cues and adopting a first-person perspective are more effective than focusing on visual cues and adopting a third-person perspective. As motor imagery becomes more dominant in neurorehabilitation and BCIs, it is important to elucidate what makes these techniques effective. The purpose of this review is to examine the research to date that focuses on both motor imagery and bimanual coordination. An assessment of current research on these two themes may serve as a useful platform for scientists and clinicians seeking to use motor imagery to help improve bimanual coordination, either through augmenting physical therapy or developing more effective BCIs.

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“…Nearly all of these examples exhibit a core concept and do so in the context of a specific scale. For additional comments, see Koenderink ( 2021 ), Kelso ( 2021 ), Wilson and Cowan ( 2021 ), Baccalá and Sameshima ( 2021 ), Humphries and Gurney ( 2021 ), von der Malsburg ( 2021 ) and Abarbanel ( 2021 ).…”

Section: More Core Concepts From Theoretical Neurobiologymentioning

confidence: 99%

“…The HKB equations contain some cleverly chosen parameters that allow reproducing some experiments that Kelso and coworkers had performed and published a few years earlier. Many more experiments followed, a few of which are described and commented by Kelso ( 2021 ).…”

Section: More Core Concepts From Theoretical Neurobiologymentioning

confidence: 99%

Mathematization of nature: how it is done

Hemmen

2021

Biol Cybern

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Natural phenomena can be quantitatively described by means of mathematics, which is actually the only way of doing so. Physics is a convincing example of the mathematization of nature. This paper gives an answer to the question of how mathematization of nature is done and illustrates the answer. Here nature is to be taken in a wide sense, being a substantial object of study in, among others, large domains of biology, such as epidemiology and neurobiology, chemistry, and physics, the most outspoken example. It is argued that mathematization of natural phenomena needs appropriate core concepts that are intimately connected with the phenomena one wants to describe and explain mathematically. Second, there is a scale on and not beyond which a specific description holds. Different scales allow for different conceptual and mathematical descriptions. This is the scaling hypothesis, which has meanwhile been confirmed on many occasions. Furthermore, a mathematical description can, as in physics, but need not be universally valid, as in biology. Finally, the history of science shows that only an intensive gauging of theory, i.e., mathematical description, by experiment leads to progress. That is, appropriate core concepts and appropriate scales are a necessary condition for mathematizing nature, and so is its verification by experiment.

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The Haken–Kelso–Bunz (HKB) model: from matter to movement to mind

Cited by 35 publications

References 190 publications

Network Physiology of Exercise: Beyond Molecular and Omics Perspectives

Network Physiology of Exercise: Beyond Molecular and Omics Perspectives

A brief review of motor imagery and bimanual coordination

Mathematization of nature: how it is done

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