Investigating the Impact of the Missing Significant Objects in Scene Recognition Using Multivariate Pattern Analysis.

Significant objects in a scene can make a great contribution to scene recognition. Besides the three scene-selective regions: parahippocampal place area (PPA), retrosplenial complex (RSC), and occipital place area (OPA), some neuroimaging studies have shown that the lateral occipital complex (LOC) is also engaged in scene recognition processing. In this study, the multivariate pattern analysis was adopted to explore the object-scene association in scene recognition when different amounts of significant objects were masked.

Air pollution risks human mental health: an implication of two-stages least squares estimation of interaction effects.

The study investigates the relationship between air pollution and the status of human mental health using the data of the China Migrant Dynamic Survey (CMDS), 2014. Various econometric methods were used. Particularly, the ordinary least square (OLS) was used to estimate the parametric impact of mental health.

Investigating the Brain Neural Mechanism when Signature Objects were Masked during a Scene Categorization Task using Functional MRI.

Objects play vital roles in scene categorization. Although a number of studies have researched on the neural responses during object and object-based scene recognition, few studies have investigated the neural mechanism underlying object-masked scene categorization. Here, we used functional magnetic resonance imaging (fMRI) to measure the changes in brain activations and functional connectivity (FC) while subjects performed a visual scene-categorization task with different numbers of 'signature objects' masked.