Technical Program

Paper Detail

Paper: PS-2A.43
Session: Poster Session 2A
Location: Symphony/Overture
Session Time: Friday, September 7, 17:15 - 19:15
Presentation Time:Friday, September 7, 17:15 - 19:15
Presentation: Poster
Publication: 2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania
Paper Title: Representations of 3D visual space in human cortex: Population receptive field models of position-in-depth
Manuscript:  Click here to view manuscript
Authors: Julie Golomb, Ohio State University, United States
Abstract: We live in a three-dimensional world, but most studies of human visual cortex focus on 2D visual representations. The third dimension – depth – is critical for perception and behavior, yet we know relatively little about if/how position-in-depth is represented topographically in the brain, and importantly how it interacts with the well-established 2D spatial maps. We recently revealed that visual cortex gradually transitions from 2D-dominant representations to balanced 3D (2D plus depth) representations along the visual hierarchy (Finlayson, Zhang, & Golomb, 2017). Here, we ask whether this depth information is spatially organized into topographic maps, akin to 2D retinotopic maps. We employed the population receptive field modeling technique (pRF: Dumoulin & Wandell, 2008) to estimate each voxel’s preferred position-in-depth and depth tuning function. Subjects viewed two different types of 3D stimuli in the scanner: depth from disparity (while wearing red/green anaglyph glasses) or depth from relative motion. Depth maps were highly reliable within a subject but demonstrated considerable across-subject variability. Yet, nearly all subjects exhibited a systematic “map-like” progression of depth-from-disparity in the vicinity of the transverse occipital sulcus. Such “depth-otopic” maps represent a novel advance carrying exciting theoretical and methodological implications for our understanding of how the brain represents spatial information.