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Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology

2019 doctoral thesis by Zohreh Gholami Doborjeh at Auckland University of Technology
Place doctoral_thesis Q112359293
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Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology

Summary

Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology is a doctoral thesis[1].

Key Facts

  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology authored Methods and Applications in Psychology — author (P50): Zohreh Doborjeh[2].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's instance of is recorded as Methods and Applications in Psychology — instance of (P31): doctoral thesis[3].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's publisher is recorded as Methods and Applications in Psychology — publisher (P123): Tuwhera Open Access Publisher[4].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's language of work or name is recorded as Methods and Applications in Psychology — language of work or name (P407): English[5].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's country of origin is recorded as Methods and Applications in Psychology — country of origin (P495): New Zealand[6].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's publication date is recorded as +2019-00-00T00:00:00Z[7].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's main subject is recorded as Methods and Applications in Psychology — main subject (P921): psychology[8].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's main subject is recorded as Methods and Applications in Psychology — main subject (P921): artificial intelligence[9].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's main subject is recorded as Methods and Applications in Psychology — main subject (P921): mindfulness[10].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's main subject is recorded as Methods and Applications in Psychology — main subject (P921): neuromarketing[11].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's Handle ID is recorded as 10292/12733[12].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's title is recorded as Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology[13].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's copyright holder is recorded as Methods and Applications in Psychology — copyright holder (P3931): Zohreh Doborjeh[14].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's thesis submitted to is recorded as Methods and Applications in Psychology — thesis submitted to (P4101): Auckland University of Technology[15].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's on focus list of Wikimedia project is recorded as Methods and Applications in Psychology — on focus list of Wikimedia project (P5008): NZThesisProject[16].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's copyright status is recorded as Methods and Applications in Psychology — copyright status (P6216): copyrighted[17].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's thesis committee member is recorded as Methods and Applications in Psychology — thesis committee member (P9161): Nikola Kasabov[18].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's thesis committee member is recorded as Methods and Applications in Psychology — thesis committee member (P9161): Alexander Sumich[19].
  • Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's thesis committee member is recorded as Methods and Applications in Psychology — thesis committee member (P9161): Grace Y. Wang[20].

Body

Designation and Status

Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology's instance of is recorded as Methods and Applications in Psychology — 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] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  8. [9] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  9. [10] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  10. [11] ↑ . hdl.handle.net. hdl.handle.net. Provenance: 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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APA 4ort.xyz Knowledge Graph. (2026). Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology. Retrieved May 3, 2026, from https://4ort.xyz/entity/modelling-of-spatiotemporal-eeg-and-erp-brain-data-for-dynamic-pattern-recognition-and-brain-state-prediction-using-spiking-neural-networks-methods-and-applications-in-psychology
MLA “Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/modelling-of-spatiotemporal-eeg-and-erp-brain-data-for-dynamic-pattern-recognition-and-brain-state-prediction-using-spiking-neural-networks-methods-and-applications-in-psychology.
BibTeX @misc{4ortxyz_modelling-of-spatiotemporal-eeg-and-erp-brain-data-for-dynamic-pattern-recognition-and-brain-state-prediction-using-spiking-neural-networks-methods-and-applications-in-psychology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modelling of Spatiotemporal EEG and ERP Brain Data for Dynamic Pattern Recognition and Brain State Prediction using Spiking Neural Networks: Methods and Applications in Psychology}}, year = {2026}, url = {https://4ort.xyz/entity/modelling-of-spatiotemporal-eeg-and-erp-brain-data-for-dynamic-pattern-recognition-and-brain-state-prediction-using-spiking-neural-networks-methods-and-applications-in-psychology}, note = {Accessed: 2026-05-03}}
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