Corrigendum: Riemannian geometry-based metrics to measure and reinforce user performance changes during
Nicolas Ivanov1,2, Tom Chau1,2
1PRISM Lab, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Frontiers in Computational Neuroscience
|December 4, 2023
Summary
This study corrects a previously published article. The correction ensures accurate referencing for future scientific research and data integrity in the field of computational neuroscience.
Area of Science:
- Computational Neuroscience
- Neuroimaging Analysis
Context:
- Ensuring accuracy in scientific literature is crucial for reproducible research.
- Correcting article DOIs prevents misattribution and aids in data retrieval.
Purpose:
- To provide a formal correction for a specific article's Digital Object Identifier (DOI).
- To maintain the integrity and traceability of scientific publications.
Summary:
- This entry serves as a correction notice for the article with DOI 10.3389/fncom.2023.1108889.
- The correction ensures that the article is accurately identified and cited within the scientific community.
Impact:
- Facilitates correct citation and retrieval of the scientific work.
- Upholds the standards of scientific accuracy and scholarly communication.
Keywords:
Riemannian geometrybrain-computer interface (BCI)electroencephalography (EEG)simulationuser evaluationuser training
