Machine Learning for Brain Images Classification of Two Language Speakers
Author
Barranco-Gutiérrez, Alejandro-Israel
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-06
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The image analysis of the brain with machine learning continues to be a relevant work for the detection of different characteristics of this complex organ.
Recent research has observed that there are differences in the structure of the brain, specifically in white matter, when learning and using a second language.
This work focuses on knowing the brain from the classification of Magnetic Resonance Images (MRIs) of bilingual and monolingual people who have English as their common language.
Different artificial neural networks of a hidden layer were tested until reaching two neurons in that layer.
The number of entries used was nine hundred and the classifier registered a high percentage of effectiveness.
The training was supervised which could be improved in a future investigation.
This task is usually carried out by an expert human with Tract-Based Spatial Statistics analysis and fractional anisotropy expressed in different colors on a screen.
So, this proposal presents another option to quantitatively analyse this type of phenomena which allows to contribute to neuroscience by automatically detecting bilingual people of monolinguals by using machine learning from MRIs.
This reinforces what is reported in manual detections and the way that a machine can do it.
American Psychological Association (APA)
Barranco-Gutiérrez, Alejandro-Israel. 2020. Machine Learning for Brain Images Classification of Two Language Speakers. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1138976
Modern Language Association (MLA)
Barranco-Gutiérrez, Alejandro-Israel. Machine Learning for Brain Images Classification of Two Language Speakers. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1138976
American Medical Association (AMA)
Barranco-Gutiérrez, Alejandro-Israel. Machine Learning for Brain Images Classification of Two Language Speakers. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1138976
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138976