Classification of age groups and task conditions provides additional evidence for differences in electrophysiological correlates of inhibitory control across the lifespan

Classification of age groups and task conditions provides additional evidence for differences in electrophysiological correlates of inhibitory control across the lifespan

Abstract The aim of this study was to extend previous findings on selective attention over a lifetime using machine learning procedures. By decoding group membership and stimulus type, we aimed to study differences in the neural representation of inhibitory control across age groups at a single-tria...

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Bibliographic Details
Main Authors: Christian Goelz, Eva-Maria Reuter, Stephanie Fröhlich, Julian Rudisch, Ben Godde, Solveig Vieluf, Claudia Voelcker-Rehage
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:Brain Informatics
Subjects:
Machine learning
Decoding
EEG/ERP
Flanker
Selective attention
Development
Online Access:https://doi.org/10.1186/s40708-023-00190-y

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