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Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment

2001 doctoral thesis by Paul R. Davidson at University of Canterbury
Place doctoral_thesis Q112856620
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Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment

Summary

Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment is a doctoral thesis[1].

Key Facts

  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment authored Nonlinear enhancement of the adaptive model theory through simulation and experiment — author (P50): Paul R. Davidson[2].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's instance of is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — instance of (P31): doctoral thesis[3].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's publisher is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — publisher (P123): UC Research Repository[4].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's DOI is recorded as 10.26021/3212[5].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's language of work or name is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — language of work or name (P407): English[6].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's country of origin is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — country of origin (P495): New Zealand[7].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's publication date is recorded as +2001-00-00T00:00:00Z[8].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's main subject is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — main subject (P921): electrical engineering[9].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's work available at URL is recorded as https://ir.canterbury.ac.nz/handle/10092/4567[10].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's Handle ID is recorded as 10092/4567[11].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's title is recorded as Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment[12].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's copyright holder is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — copyright holder (P3931): Paul R. Davidson[13].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's thesis submitted to is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — thesis submitted to (P4101): University of Canterbury[14].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's on focus list of Wikimedia project is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — on focus list of Wikimedia project (P5008): NZThesisProject[15].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's copyright status is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — copyright status (P6216): copyrighted[16].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's online access status is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — online access status (P6954): open access[17].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's thesis committee member is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — thesis committee member (P9161): Richard D. Jones[18].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's thesis committee member is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — thesis committee member (P9161): Harsha Sirisena[19].
  • Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's thesis committee member is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — thesis committee member (P9161): John Andreae[20].

Body

Designation and Status

Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment's instance of is recorded as Nonlinear enhancement of the adaptive model theory through simulation and experiment — instance of (P31): doctoral thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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MLA “Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/computational-modelling-of-the-human-motor-control-system-nonlinear-enhancement-of-the-adaptive-model-theory-through-simulation-and-experiment.
BibTeX @misc{4ortxyz_computational-modelling-of-the-human-motor-control-system-nonlinear-enhancement-of-the-adaptive-model-theory-through-simulation-and-experiment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computational modelling of the human motor control system: Nonlinear enhancement of the adaptive model theory through simulation and experiment}}, year = {2026}, url = {https://4ort.xyz/entity/computational-modelling-of-the-human-motor-control-system-nonlinear-enhancement-of-the-adaptive-model-theory-through-simulation-and-experiment}, note = {Accessed: 2026-05-03}}
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