Methods of Predicting the Brain Activity Based on Noun

Abstract:

Over the last decade, functional magnetic resonance imaging (fMRI) has become a primary tool to predict the brain activity.During the past research, researchers transfer the focus from the picture to the word.The results of these researches are relatively successful. In this paper, several typical methods which are machine learning methods are introduced. And most of the methods are by using fMRI data associated with words features. The semantic features (properties or factors) support words neural representation, and have a certain commonality in the people.The purpose of the application of these methods is used for prediction or classification.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 2516-2520
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.2516
• Online since: August 2013
• Authors: Jian Hua Jiang, Xu Yu, Zhi Xing Huang
• Keywords: Classification, fMRI, Machine Learning (ML), Prediction, Semantic Features

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