Investigation of brain response to acquisition and learning the second languages based on EEG signals and machine learning techniques
Brain-computer interfaces (BCI) and neurolinguistics have become vital areas of scientific inquiry, focusing on neural mechanisms in language acquisition. While studies have examined brain activity during language learning, there’s a need for validated data on cognitive and functional effects of acq...
Saved in:
Main Authors: | Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Baraq Ghaleb |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2024-12-01
|
Series: | Cogent Arts & Humanities |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/23311983.2024.2416759 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline
by: Nalinda D. Liyanagedera, et al.
Published: (2025-02-01) -
Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013–2023)
by: Ana Sophia Angulo Medina, et al.
Published: (2024-11-01) -
Systematic Review of EEG-Based Imagined Speech Classification Methods
by: Salwa Alzahrani, et al.
Published: (2024-12-01) -
The history, current state and future possibilities of the non-invasive brain computer interfaces
by: Frederico Caiado, et al.
Published: (2025-03-01) -
Review of Multimodal Data Acquisition Approaches for Brain–Computer Interfaces
by: Sayantan Ghosh, et al.
Published: (2024-12-01)