Creating accurate 3D representations of the world from 2D retinal images is a fundamental task for the visual system. However, the reliability of different 3D visual signals depends inherently on viewing geometry, such as how much an object is slanted in depth. Human perceptual studies have correspondingly shown that texture and binocular disparity cues for object orientation are combined according to their slant-dependent reliabilities. Where and how this cue combination occurs in the brain is currently unknown. Here, we search for neural correlates of this property in the macaque caudal intraparietal area (CIP) by measuring slant tuning curves using mixed-cue (texture + disparity) and cue-isolated (texture or disparity) planar stimuli. We find that texture cues contribute more to the mixed-cue responses of CIP neurons that prefer larger slants, consistent with theoretical and psychophysical results showing that the reliability of texture relative to disparity cues increases with slant angle. By analyzing responses to binocularly viewed texture stimuli with conflicting texture and disparity information, some cells that are sensitive to both cues when presented in isolation are found to disregard one of the cues during cue conflict. Additionally, the similarity between texture and mixed-cue responses is found to be greater when this cue conflict is eliminated by presenting the texture stimuli monocularly. The present findings demonstrate reliability-dependent contributions of visual orientation cues at the level of the CIP, thus revealing a neural correlate of this property of human visual perception.vision | 3D orientation | perspective | reliability | cue combination T ransforming 2D retinal images into accurate 3D representations of the world is a fundamental, albeit complex, problem the brain must solve. The computation of 3D object orientation is essential to this process and necessary for a wide range of behaviors, including object recognition (1), reaching (2), and grasping (3, 4). Multiple signals, including texture (available monocularly) and binocular disparity, are used to determine 3D orientation (5, 6). Single-unit (7-10) and functional MRI (fMRI) (11-13) studies indicate that different orientation cues are combined in high-level cortical areas. Object orientation is often described using angular variables called slant (rotation about an axis perpendicular to the line of sight) and tilt (rotation about an axis parallel to the line of sight) (14, 15) (Fig. S1). As a consequence of perspective geometry, which determines how a scene projects onto each retina (16), the reliability of texture cues for 3D orientation increases with slant (i.e., as depth variation increases) (17) (Fig. 1A). In contrast, the reliability of disparity cues is largely independent of slant (18). Thus, if robust orientation estimates are created by combining texture and disparity cues according to their reliabilities, the relative contributions of the cues will depend on the object's slant. Human perceptual studies corresponding...