Siying Xie

RSA is a framework to relate representations across different measurement and signal spaces, such as those defined by different brain imaging modalities (EEG and fMRI) or computational models [43,65]. The idea is to abstract from incommensurate measurement spaces into a common similarity space where representations can be directly compared. For each masking condition, the analysis proceeded in two steps.

1. Introduction Spartina alterniflora (S. alterniflora), as the most widespread invasive species, has been widely introduced to many countries and regions for reducing erosion, reclaiming land, improving soil, purifying water quality, and stabilizing the coast [1,2,3]. However, due to its strong dispersal and reproductive abilities, S. alterniflora has occupied the majority of the tidal flat wetlands along China’s coast from Liaoning to the Leizhou Peninsula for nearly 40 years [4,5,6].