Predicting visual working memory with multimodal magnetic resonance imaging
Yu Xiao(Sun Yat-sen University), Liangfang Li(Guangdong General Hospital), Jiehui Qian(Sun Yat-sen University), Zijun Ke(Sun Yat-sen University), Yangyang Yi(Sun Yat-sen University), Junji Ma(Qinghai New Energy (China)), Jinbo Zhang(Sun Yat-sen University), Ying Lin(Guangdong University of Technology)
Cited by 28
Related Papers
Particle Swarm Optimization With an Aging Leader and Challengers
|IEEE Transactions on Evolutionary Computation|2012|634
Evolutionary Computation Meets Machine Learning: A Survey
|IEEE Computational Intelligence Magazine|2011|301
Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach
|IEEE Transactions on Cybernetics|2018|279
Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling
|IEEE Transactions on Cybernetics|2019|259
Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems
|IEEE Transactions on Evolutionary Computation|2019|254