Spectral properties of human cognition and skill

Pressing, Jeff; Jolley‐Rogers, Garry

doi:10.1007/s004220050347

Cited by 104 publications

(133 citation statements)

References 30 publications

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“…Tapping in response to an externally generated pulse (paced tapping) can also be incorporated into the Wing and Kristofferson approach [49,58]. A fourth term must be added to Eq.…”

Section: The Wing and Kristofferson Model Of Rhythmic Timingmentioning

confidence: 99%

“…Alpha is the (first order) error-correction coefficient which is independent of the scale of the asynchronies. It indicates the rapidity and strength of error-compensation, which presumably relates directly to both information transmission and processing [47,49]. This extended model has been referred to as the AR1 model [49], since it is first order autoregressive.…”

Section: The Wing and Kristofferson Model Of Rhythmic Timingmentioning

confidence: 99%

“…It indicates the rapidity and strength of error-compensation, which presumably relates directly to both information transmission and processing [47,49]. This extended model has been referred to as the AR1 model [49], since it is first order autoregressive. It has been considered by previous researchers in various forms (see [16,28,29,53,58]).…”

Section: The Wing and Kristofferson Model Of Rhythmic Timingmentioning

confidence: 99%

“…'s rhythmic disturbance. A cognitive model of rhythmic timing derived from normal subjects in the experimental psychology field [47][48][49]58,68,69] was employed to analyse the essential components of this disturbance.…”

Section: Introductionmentioning

confidence: 99%

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Modelling rhythmic function in a musician post-stroke

2002

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The aim of this study was to model the components of rhythmic function in a case (H.J.) of acquired rhythmic disturbance. H.J. is a right-handed, amateur male musician who acquired arrhythmia in the context of a global amusia after sustaining a right temporoparietal infarct. His rhythmic disturbance was analysed in relation to three independent components using an autoregressive extension of Wing and Kristofferson's model of rhythmic timing. This revealed preserved error-correction and motor implementation capacities, but a gross disturbance of H.J.'s central timing system ("cognitive clock"). It rendered him unable to generate a steady pulse, prevented adequate discrimination and reproduction of novel metrical rhythms, and partly contributed to bi-manual co-ordination difficulties in his instrumental performance. The findings are considered in relation to the essential components of the cognitive architecture of rhythmic function, and their respective cerebral lateralisation and localisation. Overall, the data suggested that the functioning of the right temporal auditory cortex is fundamental to 'keeping the beat' in music. The approach is presented as a new paradigm for future neuropsychological research examining rhythmic disturbances.

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“…Tapping in response to an externally generated pulse (paced tapping) can also be incorporated into the Wing and Kristofferson approach [49,58]. A fourth term must be added to Eq.…”

Section: The Wing and Kristofferson Model Of Rhythmic Timingmentioning

confidence: 99%

Section: The Wing and Kristofferson Model Of Rhythmic Timingmentioning

confidence: 99%

Section: The Wing and Kristofferson Model Of Rhythmic Timingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modelling rhythmic function in a musician post-stroke

2002

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“…The model does not require any assumptions regarding the origin of the clock, only that the timing intervals are independent. Since its inception, the WK-model has been frequently used to analyze tapping sequences in a so-called synchronization-continuation paradigm, in which subjects first synchronize their tapping to a metronome and then continue the previously indicated rhythm after removal of the metronome (Wing and Kristofferson 1973;Musha et al 1985;Vorberg and Wing 1996;Pressing and Jolley-Rogers 1997;Pressing 1998;Ivry and Richardson 2002). The elegantly simple WKmodel provides an adequate description of various statistical properties of tapping sequences during continuation that can stand up to more elaborate models, which typically place more emphasis on long-term correlations in voluntary tapping (e.g., Chen et al 1997;Daffertshofer 1998;Delignières et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Tapping with intentional drift

2008

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When tapping a desired frequency, subjects tend to drift away from this target frequency. This compromises the estimate of the correlation between inter-tap intervals (ITIs) as predicted by the two-level model of Wing and Kristofferson which consists of an internal timer ('clock') and motor delays. Whereas previous studies on the timing of rhythmic tapping attempted to eliminate drift, we compared the production of three constant frequencies (1.5, 2.0, and 2.5 Hz) to the production of tapping sequences with a linearly decreasing inter-tap interval (ITI) (corresponding to an increase in tapping frequency from 1.5 to 2.5 Hz). For all conditions a synchronization-continuation paradigm was used. Tapping forces and electromyograms of the index-finger flexor and extensor were recorded and ITIs were derived yielding interval variability and model parameters, i.e., clock and motor variances. Electromyographic recordings served to study the influence of tapping frequency on the peripheral part of the tap event. The condition with an increasing frequency was more difficult to perform, as evidenced by an increase in deviation from the intended ITIs. In general, tapping frequency affected force level, inter-tap variability, model parameters, and muscle co-activation. Parameters for the condition with a decreasing ITI were comparable to those found in the constant frequency conditions. That is, although tapping with an intentional drift is different from constant tapping and more difficult to perform, the timing properties of both forms of tapping are remarkably similar and described well by the Wing and Kristofferson model.

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Deterministic and stochastic processes in children's isometric force variability

Deutsch

Newell

2003

Developmental Psychobiology

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This study examined the influence of deterministic and stochastic processes (including white Gaussian noise) on reductions in the amount of force output variability through childhood. The structure of the force signal produced during a constant isometric pinch grip task was examined as a function of age (6, 8, and 10 years, and young adults), availability of feedback information (with and without vision), digit (thumb and index finger), and force level (5, 15, 25, and 35% of maximal voluntary contraction). The amount of white Gaussian noise in the force signals was negligible and not age related. The availability of vision led increasingly over the older age groups to lower long-range correlations with more than a single scaling range in a 1/f-like decay process. The reductions in the amount of force variability from childhood to adulthood were related in large part to deterministic organization that increased the adaptive use of higher frequency components, due to the more flexible use of information feedback and feedforward processes.

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Spectral properties of human cognition and skill

Cited by 104 publications

References 30 publications

Modelling rhythmic function in a musician post-stroke

Modelling rhythmic function in a musician post-stroke

Tapping with intentional drift

Deterministic and stochastic processes in children's isometric force variability

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