Stochasticity as a solution for overfitting—A new model and comparative study on non-invasive EEG prospects

Stochasticity as a solution for overfitting—A new model and comparative study on non-invasive EEG prospects

The potential and utility of inner speech is pivotal for developing practical, everyday Brain-Computer Interface (BCI) applications, as it represents a type of brain signal that operates independently of external stimuli however it is largely underdeveloped due to the challenges faced in deciphering...

Full description

Saved in:
Bibliographic Details
Main Authors: Yousef A. Radwan, Eslam Ahmed Mohamed, Donia Metwalli, Mariam Barakat, Anas Ahmed, Antony E. Kiroles, Sahar Selim
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Human Neuroscience
Subjects:
EEG
brain-computer interface
inner speech
machine learning
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2025.1484470/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items