Related Experiment Video
Updated: Feb 16, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
Published on: November 2, 2012
Revealing the Semantic Association between Perception of Scenes and Significant Objects by Representational
Songnan Wang1, Linjing Cao1, Junhai Xu1
1School of Computer Science and Technology, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin 300350, PR China.
Significant objects are key to scene recognition. Brain regions like the lateral occipital complex (LOC) and parahippocampal place area (PPA) show object-scene correlations, aiding understanding of neural mechanisms.
Area of Science:
- Neuroscience
- Cognitive Science
- Visual Perception
Background:
- Significant objects are crucial for scene recognition.
- The lateral occipital complex (LOC), parahippocampal place area (PPA), and retrosplenial cortex (RSC) are implicated in object and scene processing.
- The precise neural mechanisms linking objects and scenes remain unclear.
Purpose of the Study:
- To investigate the neural mechanisms underlying the association between objects and scenes in human brain.
- To explore the roles of LOC, PPA, and RSC in processing object-scene relationships.
- To differentiate the contributions of these regions to semantic and spatial aspects of scene recognition.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was employed to measure brain activity.
- Representational Similarity Analysis (RSA) was used to compare activity patterns for objects and scenes.
- Stimuli included four categories of scene images and four types of significant objects.
Main Results:
- Positive correlations between object and scene activity patterns were observed in the LOC and PPA.
- Within-scene objects showed stronger correlations than out-of-scene objects in the PPA, LO, and PF.
- Scene-object correlations varied for indoor and outdoor scenes, with LO and PF processing semantic associations and PPA handling semantic and spatial characteristics.
Conclusions:
- The LOC and PPA are involved in integrating object information within scene context.
- The PPA, LO, and PF exhibit distinct roles in processing semantic and spatial scene properties.
- The RSC does not appear to be involved in processing semantic associations between scenes and objects.
Related Concept Videos
Causes of Similarity-Dissimilarity Effect
State Space Representation
Consider an RLC circuit, a...
Subliminal Perception
Factors Affecting Perception
An illustrative example of a perceptual set is the scenario where an airline pilot told...
Graphical Representation of Inequalities
Control Volume and System Representations
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface. For instance, in the case of water...

