Caudal Intraparietal Sulcus and three-dimensional vision: A combined functional magnetic resonance imaging and single-cell study

Alizadeh, Amir-Mohammad; dromme, Ilse Caroline Lea van; Verhoef, Bram-Ernst; Janssen, Peter

doi:10.1016/j.neuroimage.2017.10.045

Cited by 21 publications

(29 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This information is important because it can distinguish 3D representations from sensitivity to lower-level features (e.g. local binocular disparity cues) that co-vary with changes in object pose ( Janssen et al, 2000 ; Nguyenkim and DeAngelis, 2003 ; Alizadeh et al, 2018 ; Elmore et al, 2019 ). To disentangle these possibilities, we measured how the 3D orientation tuning depended on the surface’s distance with the fixation distance held constant.…”

Section: Resultsmentioning

confidence: 99%

“…A transformation towards relative disparity tuning proceeds in V2 ( Thomas et al, 2002 ) and V3A where absolute disparity representations may still predominate ( Anzai et al, 2011 ) but selectivity for disparity gradients may also begin ( Elmore et al, 2019 ). The 2D-to-3D transformation likely progresses further in the posterior intraparietal area where tuning for local relative disparity gradients may be solidified ( Alizadeh et al, 2018 ), ultimately achieving 3D object pose selectivity in CIP.…”

Section: Discussionmentioning

confidence: 99%

“…Distinguishing 3D representations from lower-level visual feature selectivity is a longstanding problem. Demonstrating that 3D orientation selectivity is tolerant to distance when the fixation distance is held constant can be used to verify 3D tuning ( Janssen et al, 2000 ; Nguyenkim and DeAngelis, 2003 ; Alizadeh et al, 2018 ; Elmore et al, 2019 ). This fundamental test was not previously performed in CIP.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Functional links between sensory representations, choice activity, and sensorimotor associations in parietal cortex

Chang

Doudlah

Kim

et al. 2020

eLife

View full text Add to dashboard Cite

Three-dimensional (3D) representations of the environment are often critical for selecting actions that achieve desired goals. The success of these goal-directed actions relies on 3D sensorimotor transformations that are experience-dependent. Here we investigated the relationships between the robustness of 3D visual representations, choice-related activity, and motor-related activity in parietal cortex. Macaque monkeys performed an eight-alternative 3D orientation discrimination task and a visually guided saccade task while we recorded from the caudal intraparietal area using laminar probes. We found that neurons with more robust 3D visual representations preferentially carried choice-related activity. Following the onset of choice-related activity, the robustness of the 3D representations further increased for those neurons. We additionally found that 3D orientation and saccade direction preferences aligned, particularly for neurons with choice-related activity, reflecting an experience-dependent sensorimotor association. These findings reveal previously unrecognized links between the fidelity of ecologically relevant object representations, choice-related activity, and motor-related activity.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Functional links between sensory representations, choice activity, and sensorimotor associations in parietal cortex

Chang

Doudlah

Kim

et al. 2020

eLife

View full text Add to dashboard Cite

show abstract

“…Areas that encode higher-order depth features of objects in dorsal cortex include hMT+, MST, V3A/B, V6, V7, and regions along the intraparietal sulcus (IPS) (Alizadeh, Van Dromme, Verhoef, & Janssen, 2018; Georgieva, Peeters, Kolster, Todd, & Orban, 2009; Janssen, Vogels, & Orban, 2000; Katsuyama, Usui, Nose, & Taira, 2011; for reviews see Anzai & DeAngelis, 2010; Freud et al, 2016; Janssen et al, 2018; Orban, 2011; Theys, Romero, van Loon, & Janssen, 2015; Tsao, Conway, & Livingstone, 2003; Tsao, Vanduffel, et al, 2003; Tsutsui, Taira, & Sakata, 2005). For example, in monkeys the caudal part of the intraparietal area (CIP), which corresponds to VIPS, V7/IPS0, or V7A in humans (Konen, Mruczek, Montoya, & Kastner, 2013; Orban, 2016), is involved in representing 3-D curvature (Alizadeh et al, 2018; Georgieva et al, 2009; Janssen et al, 2000; Katsuyama et al, 2011). Stereoscopically defined pairs of 3-D shapes that differ only in their sign of curvature (i.e., concave versus convex) selectively activate individual neurons in this area (Janssen et al, 2000).…”

Section: Hallmarks Of Object-related Representations In Dorsal Cortexmentioning

confidence: 99%

Towards a unified perspective of object shape and motion processing in human dorsal cortex

Erlikhman

Caplovitz

Gurariy

et al. 2018

Consciousness and Cognition

View full text Add to dashboard Cite

Although object-related areas were discovered in human parietal cortex a decade ago, surprisingly little is known about the nature and purpose of these representations, and how they differ from those in the ventral processing stream. In this article, we review evidence for the unique contribution of object areas of dorsal cortex to three-dimensional (3-D) shape representation, the localization of objects in space, and in guiding reaching and grasping actions. We also highlight the role of dorsal cortex in form-motion interaction and spatiotemporal integration, possible functional relationships between 3-D shape and motion processing, and how these processes operate together in the service of supporting goal-directed actions with objects. Fundamental differences between the nature of object representations in the dorsal versus ventral processing streams are considered, with an emphasis on how and why dorsal cortex supports veridical (rather than invariant) representations of objects to guide goal-directed hand actions in dynamic visual environments.

show abstract

“…At 77 cm and beyond, all dots were behind the plane of fixation. The protocol was thus similar to previous studies which varied the stimulus distance while holding the fixation distance constant (Nguyenkim and DeAngelis, 2003;Hegdé and Van Essen, 2005;Ban and Welchman, 2015;Alizadeh et al, 2018;Elmore et al, 2019;Henderson et al, 2019). Others have yoked the stimulus and fixation distances (Banks et al, 2001;Hillis et al, 2004).…”

Section: Visual Stimulimentioning

confidence: 75%

Optimized but Not Maximized Cue Integration for 3D Visual Perception

Chang

Thompson

Doudlah

et al. 2019

eNeuro

View full text Add to dashboard Cite

Reconstructing three-dimensional (3D) scenes from two-dimensional (2D) retinal images is an ill-posed problem. Despite this, 3D perception of the world based on 2D retinal images is seemingly accurate and precise. The integration of distinct visual cues is essential for robust 3D perception in humans, but it is unclear whether this is true for non-human primates (NHPs). Here, we assessed 3D perception in macaque monkeys using a planar surface orientation discrimination task. Perception was accurate across a wide range of spatial poses (orientations and distances), but precision was highly dependent on the plane's pose. The monkeys achieved robust 3D perception by dynamically reweighting the integration of stereoscopic and perspective cues according to their pose-dependent reliabilities. Errors in performance could be explained by a prior resembling the 3D orientation statistics of natural scenes. We used neural network simulations based on 3D orientation-selective neurons recorded from the same monkeys to assess how neural computation might constrain perception. The perceptual data were consistent with a model in which the responses of two independent neuronal populations representing stereoscopic cues and perspective cues (with perspective signals from the two eyes combined using nonlinear canonical computations) were optimally integrated through linear summation. Perception of combined-cue stimuli was optimal given this architecture. However, an alternative architecture in which stereoscopic cues, left eye perspective cues, and right eye perspective cues were represented by three independent populations yielded two times greater precision than the monkeys. This result suggests that, due to canonical computations, cue integration for 3D perception is optimized but not maximized. Significance StatementOur eyes sense two-dimensional (2D) projections of the world, like a movie on a screen, but we perceive the world as three-dimensional (3D). Here, we show that non-human primates (NHPs), like humans, achieve more precise 3D vision by perceptually integrating distinct 3D cues. We also present evidence that perception is influenced by 3D natural scene statistics, and that priors over 3D orientation are subjectively encoded. Using simulations, we examine how neural computation can constrain 3D perception and estimate that perception is half as precise as theoretically possible. Our findings suggest that the concurrence of multiple canonical computations simultaneously optimizes and curbs 3D visual perception, and highlight that what constitutes optimal task performance depends on the underlying neural architecture.

show abstract

Caudal Intraparietal Sulcus and three-dimensional vision: A combined functional magnetic resonance imaging and single-cell study

Cited by 21 publications

References 51 publications

Functional links between sensory representations, choice activity, and sensorimotor associations in parietal cortex

Functional links between sensory representations, choice activity, and sensorimotor associations in parietal cortex

Towards a unified perspective of object shape and motion processing in human dorsal cortex

Optimized but Not Maximized Cue Integration for 3D Visual Perception

Contact Info

Product

Resources

About