Abstract
Studying temporal and spectral features of electrophysiological signals can help identify the factors leading to optimal performance. Recent research will be discussed that applied these tools to study the preparatory cortical and oculomotor correlates of performance in target sports.
| Original language | English |
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| Publication status | Published - Sept 2024 |
| Event | National Congress of the Italian Society of Psychophysiology and Cognitive Neuroscience: Predictive Brain - Cesena, Italy Duration: 4 Sept 2024 → … Conference number: 32nd https://www.sipf.it/CESENA-2024 |
Conference
| Conference | National Congress of the Italian Society of Psychophysiology and Cognitive Neuroscience |
|---|---|
| Abbreviated title | SIPF 2024 |
| Country/Territory | Italy |
| City | Cesena |
| Period | 4/09/24 → … |
| Internet address |
Keywords
- signal processing
- psychophysiology
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Cardiac cycle oscillatory dynamics in a self-paced precision task
Gallicchio, G., Ryu, D., Pecunioso, A. & Jackson, R., Sept 2024.Research output: Contribution to conference › Abstract › peer-review
Open AccessFile -
Cortical correlates of cardiac deceleration in preparation for skilled action
Gallicchio, G., Ryu, D., Pecunioso, A. & Jackson, R., Jul 2024.Research output: Contribution to conference › Other › peer-review
Open AccessFile -
Temporal and spectral electrooculographic features in a discrete precision task
Gallicchio, G., Ryu, D., Krishnani, M., Tasker, G., Pecunioso, A. & Jackson, R., Mar 2024, In: Psychophysiology. 61, 3, e14461.Research output: Contribution to journal › Article › peer-review
Open AccessFile132 Downloads (Pure)
Prizes
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Doctoral Prize Fellowship
Gallicchio, G. (Recipient), Dec 2018
Prize: Fellowship awarded competitively
Datasets
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Temporal and spectral electrooculographic features in a discrete precision task
Gallicchio, G. (Creator), Ryu, D. (Contributor), Krishnani, M. (Contributor), Tasker, G. (Contributor), Pecunioso, A. (Contributor) & Jackson, R. (Contributor), Prifysgol Bangor University, 5 Oct 2023
DOI: 10.6084/m9.figshare.24250753
Dataset
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