Decoding in the Fourth Dimension: Classification of Temporal Patterns and Their Generalization Across Locations.

ABSTRACT: Neuroimaging research has increasingly used decoding techniques, in which multivariate statistical methods identify patterns in neural data that allow the classification of experimental conditions or participant groups. Typically, the features used for decoding are spatial in nature, including voxel patterns and electrode locations. However, the strength of many neurophysiological recording techniques such as electroencephalography or magnetoencephalography is in their rich temporal, rather than spatial, content. The present report introduces the time-GAL toolbox, which implements a decoding method based on time information in electrophysiological recordings. The toolbox first quantifies the decodable information contained in neural time series. This information is then used in a subsequen

SUBMITTER: Santos-Mayo A 

PROVIDER: S-EPMC11780319 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature