Causal neural mechanisms of context-based object recognition.
Ontology highlight
ABSTRACT: Objects can be recognized based on their intrinsic features, including shape, color, and texture. In daily life, however, such features are often not clearly visible, for example when objects appear in the periphery, in clutter, or at a distance. Interestingly, object recognition can still be highly accurate under these conditions when objects are seen within their typical scene context. What are the neural mechanisms of context-based object recognition? According to parallel processing accounts, context-based object recognition is supported by the parallel processing of object and scene information in separate pathways. Output of these pathways is then combined in downstream regions, leading to contextual benefits in object recognition. Alternatively, according to feedback accounts, conte
SUBMITTER: Wischnewski M
PROVIDER: S-EPMC8354632 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature
ACCESS DATA