Diverse Task Classification from Activation Patterns of Functional Neuro-Images Using Feature Fusion Module

Diverse Task Classification from Activation Patterns of Functional Neuro-Images Using Feature Fusion Module

One of the emerging fields in functional magnetic resonance imaging (fMRI) is the decoding of different stimulations. The underlying idea is to reveal the hidden representative signal patterns of various fMRI tasks for achieving high task-classification performance. Unfortunately, when multiple task...

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Bibliographic Details
Main Authors: Osman Tayfun Bişkin, Cemre Candemir, Ali Saffet Gonul, Mustafa Alper Selver
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
DWT
emotion
feature fusion
fMRI
LSTM
memory
Online Access:https://www.mdpi.com/1424-8220/23/7/3382

Internet

https://www.mdpi.com/1424-8220/23/7/3382

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