Timing, Clocks, and Dynamical Systems

Schöner, Gregor

doi:10.1006/brcg.2001.1302

Cited by 109 publications

(78 citation statements)

References 49 publications

(60 reference statements)

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“…In particular, the increase of timing variability with increasing mean duration (Wing & Kristofferson, 1973), that is also observed in the perception of durations (Ivry & Hazeltine, 1995), emerges naturally out of an oscillator account (Schöner, 2002). Such circuits also help understanding how timing is perceived (Ivry, 1996;Large & Palmer, 2002) and how timed actions may be linked to perceived external signals (Schöner, 1994).…”

Section: Absolute and Relative Timing And Its Implementation By Neuromentioning

confidence: 93%

“…Two aspects of timing must be distinguished (see Schöner, 2002, for an introduction): Relative timing refers to the temporal coordination of multiple movements or effectors. Here, changes to the time course of one component affect the time course of other components.…”

Section: Absolute and Relative Timing And Its Implementation By Neuromentioning

confidence: 99%

“…To become functional as a timing device, such a neural clock must be started and reset once the motor act has terminated. This makes such neural clocks special cases of the larger class of neural oscillators (Schöner, 2002). Stable oscillation is generic in coupled neuronal networks.…”

Section: Absolute and Relative Timing And Its Implementation By Neuromentioning

confidence: 99%

“…Mathematically speaking, such stable neuronal oscillators form stable limit cycles which account for basic features of absolute timing and coordination (Schöner, 2002). In particular, the increase of timing variability with increasing mean duration (Wing & Kristofferson, 1973), that is also observed in the perception of durations (Ivry & Hazeltine, 1995), emerges naturally out of an oscillator account (Schöner, 2002).…”

Section: Absolute and Relative Timing And Its Implementation By Neuromentioning

confidence: 99%

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Limb versus Speech Motor Control: A Conceptual Review

Britta¹,

Fuchs²,

Perrier³

et al. 2011

Motor Control

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This paper presents a comparative conceptual review of speech and limb motor control.Speech is essentially cognitive in nature and constrained by the rules of language, while limb movement is often oriented to physical objects. We discuss the issue of intrinsic vs. extrinsic variables underlying the representations of motor goals as well as whether motor goals specify terminal postures or entire trajectories. Timing and coordination is recognized as an area of strong interchange between the two domains. Although coordination among different motor acts within a sequence and co-articulation are central to speech motor control, they have received only limited attention in manipulatory movements. The biomechanics of speech production is characterized by the presence of soft tissue, a variable number of degrees of freedom, and the challenges of high rates of production, while limb movements deal more typically with inertial constraints from manipulated objects. This comparative review thus leads us to identify many strands of thinking that are shared across the two domains, but also points us to issues on which approaches in the two domains differ. We conclude that conceptual interchange between the fields of limb and speech motor control has been useful in the past and promises continued benefit.

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Section: Absolute and Relative Timing And Its Implementation By Neuromentioning

confidence: 93%

Section: Absolute and Relative Timing And Its Implementation By Neuromentioning

confidence: 99%

Section: Absolute and Relative Timing And Its Implementation By Neuromentioning

confidence: 99%

Section: Absolute and Relative Timing And Its Implementation By Neuromentioning

confidence: 99%

See 2 more Smart Citations

Limb versus Speech Motor Control: A Conceptual Review

Britta¹,

Fuchs²,

Perrier³

et al. 2011

Motor Control

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“…Recently, there has been an upsurge of studies focussing on stochasticity as a hallmark property of human movement that not only needs to be addressed, but also possesses functional qualities (e.g., Harris and Wolpert 1998;Körding and Wolpert 2004;Riley and Turvey, 2002;Schöner et al 1986;Schöner 2002). For instance, variability in endpoint trajectory has been associated with task difficulty (Todorov and Jordan 2002): variability is reduced in more difficult tasks to comply with accuracy constraints, whereas in easier tasks the variability is allowed to increase to enhance system flexibility.…”

Section: Introductionmentioning

confidence: 99%

Deterministic and stochastic features of rhythmic human movement

2005

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The dynamics of rhythmic movement has both deterministic and stochastic features. We advocate a recently established analysis method that allows for an unbiased identification of both types of system components. The deterministic components are revealed in terms of drift coefficients and vector fields, while the stochastic components are assessed in terms of diffusion coefficients and ellipse fields. The general principles of the procedure and its application are explained and illustrated using simulated data from known dynamical systems. Subsequently, we exemplify the method's merits in extracting deterministic and stochastic aspects of various instances of rhythmic movement, including tapping, wrist cycling and forearm oscillations. In particular, it is shown how the extracted numerical forms can be analysed to gain insight into the dependence of dynamical properties on experimental conditions.

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