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Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study

  • Published:2021-03 Issue: Volume:135 Page:91-104
  • ISSN:0893-6080
  • Container-title:Neural Networks
  • language:en
  • Short-container-title:Neural Networks

Author:

Qiao ChenORCID,Yang Lan,Calhoun Vince D.,Xu Zong-Ben,Wang Yu-PingORCID

Funder

NSFC

Science and Technology Innovation Plan of Xian

Fundamental Research Funds for the Central Universities

NIH

Xian Jiaotong University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference82 articles.

1. Agarwood oil quality classification using support vector classifier and grid search cross validation hyperparameter tuning;Abas;International Journal of Emerging Trends in Engineering Research,2020

2. Identification of epileptic brain states by dynamic functional connectivity analysis of simultaneous EEG-fMRI: A dictionary learning approach;Abreu;Scientific Reports,2019

3. K-svd: An algorithm for designing overcomplete dictionaries for sparse representation;Aharon;IEEE Transactions on Signal Processing,2006

4. Symbol error rate performance of hybrid DF/AF relaying protocol using particle swarm optimization based power allocation;Ali,2019

5. Tracking whole-brain connectivity dynamics in the resting state;Allen;Cerebral Cortex,2012

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