A Predictive Modeling Approach to Analyze Data in EEG-fMRI Experiments

S Ferdowsi; S Sanei; V Abolghasemi

doi:10.1142/S0129065714400085

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A Predictive Modeling Approach to Analyze Data in EEG-fMRI Experiments

Journal article

Peer reviewed

A Predictive Modeling Approach to Analyze Data in EEG-fMRI Experiments

S Ferdowsi, S Sanei and V Abolghasemi

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, Vol.25(1), ARTN 14400

01/02/2015

DOI: https://doi.org/10.1142/S0129065714400085

Abstract

Science & Technology

Technology

Computer Science

Artificial Intelligence

Computer Science

Simultaneous EEG-fMRI

linear prediction

rolandic beta rhythm

blind source extraction

2ND-ORDER STATISTICS

SYNCHRONIZATION

METHODOLOGY

SEPARATION

DISEASE

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Title: A Predictive Modeling Approach to Analyze Data in EEG-fMRI Experiments
Creators: S Ferdowsi
S Sanei
V Abolghasemi
Publication Details: INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, Vol.25(1), ARTN 14400
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTD
Date published: 01/02/2015
Date submitted: 17/05/2017
Identifiers: 99513195102346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

A Predictive Modeling Approach to Analyze Data in EEG-fMRI Experiments

Abstract

Files and links (1)

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