EEG Decoding of Finger Numeral Configurations With Machine Learning

EEG Decoding of Finger Numeral Configurations With Machine Learning

In this study, we used multivariate decoding methods to study processing differences between canonical (montring and count) and noncanonical finger numeral configurations (FNCs). While previous research investigated these processing differences using behavioral and event-related potentials (ERP) met...

Full description

Bibliographic Details
Main Authors: Roya Salehzadeh, Brian Rivera, Kaiwen Man, Nader Jalili, Firat Soylu
Format: Article
Language:English
Published: PsychOpen GOLD/ Leibniz Insitute for Psychology 2023-03-01
Series:Journal of Numerical Cognition
Subjects:
finger numeral configurations
erp
eeg
decoding
machine learning
numerical cognition
Online Access:https://jnc.psychopen.eu/index.php/jnc/article/view/10441

Internet

https://jnc.psychopen.eu/index.php/jnc/article/view/10441

Similar Items