One challenge in the analysis of event-related potentials (ERPs) is to identify task-related differences in scalp topography. The multivariate Partial Least Squares (PLS) analysis was used to identify the spatiotemporal distribution of ERP differences related to experimental manipulations. Two simul
Spatiotemporal analysis of event-related fMRI data using partial least squares
โ Scribed by A.R. McIntosh; W.K. Chau; A.B. Protzner
- Book ID
- 118488816
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 710 KB
- Volume
- 23
- Category
- Article
- ISSN
- 1053-8119
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Partial least squares (PLS) has been used in multivariate analysis of functional magnetic resonance imaging (fMRI) data as a way of incorporating information about the underlying experimental paradigm. In comparison, principal component analysis (PCA) extracts structure merely by summarizing varianc
Correspondence analysis partial least squares (CA-PLS) has been compared with PLS conceming classification and prediction of unimodal growth temperature data and an example using infrared (IR) spectroscopy for predicting amounts of chemicals in mixtures. CA-PLS was very effective for ordinating the