Correntropy coefficient analysis of fMRI using reference model
A non-invasive functional MRI (fMRI) has emerged effective in the investigation of the functionality of human brain. However, detection of functional activation is often complicated by the presence of noise. In this paper, we propose an approach based on correntropy, a recently introduced measure wh...
Saved in:
Main Authors: | Maheshwari, Harish Kumar., Siyal, Muhammad Yakoob. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/84645 http://hdl.handle.net/10220/11799 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Joint analysis of EEG and fMRI data : an exciting machine learning challenge
by: Vij Nikhil
Published: (2013) -
Fusion of EEG and fMRI
by: Wu, Zuobin.
Published: (2013) -
Correntropy based nonnegative matrix factorization : algorithms and clustering applications
by: Peng, Siyuan
Published: (2020) -
Deep neural networks for spatio-temporal analysis of rs-fMRI in ADHD
by: Abhay Mallikarjun Somaradhya Aradhya
Published: (2022) -
AI algorithms for the future world
by: Mohammed Yakoob Siyal
Published: (2021)