Hemispheric Organization for Visual Object Recognition: A Theoretical Account and Empirical Evidence*. (April 2020)

• Record Type: Journal Article
• Authors: Behrmann, Marlene; Plaut, David C.
• Is Part Of: Perception. Volume 49:Number 4(2020)
• Page Start: 373
• Page End: 404
• Publication Date: 2020-04
• Subjects: hemispheric organization -- visual object recognition -- neural basis -- distributed organization; Perception -- Periodicals; Perception -- Periodicals; Perception; Periodicals; 153.705
• DOI: 10.1177/0301006619899049
• Languages: English
• ISSNs: 0301-0066

Abstract

Abstract: Despite the similarity in structure, the hemispheres of the human brain have somewhat different functions. A traditional view of hemispheric organization asserts that there are independent and largely lateralized domain-specific regions in ventral occipitotemporal (VOTC), specialized for the recognition of distinct classes of objects. Here, we offer an alternative account of the organization of the hemispheres, with a specific focus on face and word recognition. This alternative account relies on three computational principles: distributed representations and knowledge, cooperation and competition between representations, and topography and proximity. The crux is that visual recognition results from a network of regions with graded functional specialization that is distributed across both hemispheres. Specifically, the claim is that face recognition, which is acquired relatively early in life, is processed by VOTC regions in both hemispheres. Once literacy is acquired, word recognition, which is co-lateralized with language areas, primarily engages the left VOTC and, consequently, face recognition is primarily, albeit not exclusively, mediated by the right VOTC. We review psychological and neural evidence from a range of studies conducted with normal and brain-damaged adults and children and consider findings which challenge this account. Last, we offer suggestions for future investigations whose findings may further refine this account.