Topology-Aware Multimodal Fusion for Neural Dynamics Representation Learning and Classification-Reference-Cited by-同舟云学术

Topology-Aware Multimodal Fusion for Neural Dynamics Representation Learning and Classification

Published:2024-07-01 Issue:13 Volume:24 Page:21062-21073
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Rahimi Neela¹^ORCID,Kumar Chetan¹,McLinden John²^ORCID,Ismail Hosni Sarah²^ORCID,Bahram Borgheai Seyyed²^ORCID,Shahriari Yalda²^ORCID,Shao Ming¹^ORCID

Affiliation:

1. Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA

2. Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingstown, RI, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/7361/10577556/10534196-aam.pdf

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1. A review of multivariate methods for multimodal fusion of brain imaging data

2. Multimodal fusion of EEG-fNIRS: a mutual information-based hybrid classification framework

Shedding Light On The Human Auditory Cortex: A Review Of The Advances In Near Infrared Spectroscopy (NIRS)

4. Multimodal Neuroimaging Using Concurrent EEG/fNIRS for Poststroke Recovery Assessment: An Exploratory Study

5. EEG Emotion Recognition based on Hierarchy Graph Convolution Network

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