Methods of Predicting the Brain Activity Based on Noun

DOI

10.2991/iccsee.2013.589How to use a DOI?

Keywords

fMRI, semantic features, machine learning, classification, prediction

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 word’s features. The semantic features (properties or factors) support word’s neural representation, and have a certain commonality in the people. The purpose of the application of these methods is used for prediction or classification.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianhua Jiang
AU  - Xu Yu
AU  - Zhixing Huang
PY  - 2013/03
DA  - 2013/03
TI  - Methods of Predicting the Brain Activity Based on Noun
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2353
EP  - 2356
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.589
DO  - 10.2991/iccsee.2013.589
ID  - Jiang2013/03
ER  -