Perception of three-dimensional (3D) objects is robust and stable, despite fragmentary and discontinuous sensory information. This is especially true for vision which is based only on 2D images. The visual system infers the depth of objects form binocular disparity and other, monocular, depth cues, such as motion parallax, perspective, shading, and occlusion. None of these cues is constantly available, and most of them are ambiguous. While disparity selectivity of cortical neurons is well documented, little is known about the processing in primate visual cortex of the monocular depth cues and the mechanisms of cue combination. The stability of perception suggests the existence of cortical depth representations that are cue invariant.
The aim of this research is to determine (a) how elementary 3D features are represented in the visual cortex, (b) how different monocular and binocular cues contribute to this representation, and (c) how information from different cues is combined, especially in situations of ambiguity and conflict. The proposed approach is to study, for the same 3D objects and display conditions, (1) depth perception in human and monkey subjects, and (2) the neuronal activity in cortical areas V1, V2, and V4, of the awake, fixating monkey.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Program Projects (P01)
Project #
5P01NS038034-04
Application #
6595037
Study Section
Special Emphasis Panel (ZNS1)
Project Start
2002-07-01
Project End
2003-06-30
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
4
Fiscal Year
2002
Total Cost
$155,764
Indirect Cost
Name
Johns Hopkins University
Department
Type
DUNS #
045911138
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Pei, Yu-Cheng; Hsiao, Steven S; Craig, James C et al. (2011) Neural mechanisms of tactile motion integration in somatosensory cortex. Neuron 69:536-47
Yoshioka, Takashi; Zhou, Julia (2009) Factors Involved in Tactile Texture Perception through Probes. Adv Robot 23:747-766
Pei, Y C; Hsiao, S S; Bensmaia, S J (2008) The tactile integration of local motion cues is analogous to its visual counterpart. Proc Natl Acad Sci U S A 105:8130-5
Muniak, Michael A; Ray, Supratim; Hsiao, Steven S et al. (2007) The neural coding of stimulus intensity: linking the population response of mechanoreceptive afferents with psychophysical behavior. J Neurosci 27:11687-99
Killebrew, Justin H; Bensmaia, Sliman J; Dammann, John F et al. (2007) A dense array stimulator to generate arbitrary spatio-temporal tactile stimuli. J Neurosci Methods 161:62-74
Berryman, L J; Yau, J M; Hsiao, S S (2006) Representation of object size in the somatosensory system. J Neurophysiol 96:27-39
Bensmaia, S J; Craig, J C; Yoshioka, T et al. (2006) SA1 and RA afferent responses to static and vibrating gratings. J Neurophysiol 95:1771-82
Sripati, Arun P; Yoshioka, Takashi; Denchev, Peter et al. (2006) Spatiotemporal receptive fields of peripheral afferents and cortical area 3b and 1 neurons in the primate somatosensory system. J Neurosci 26:2101-14
Sripati, Arun P; Bensmaia, Sliman J; Johnson, Kenneth O (2006) A continuum mechanical model of mechanoreceptive afferent responses to indented spatial patterns. J Neurophysiol 95:3852-64
Sripati, Arun P; Johnson, Kenneth O (2006) Dynamic gain changes during attentional modulation. Neural Comput 18:1847-67

Showing the most recent 10 out of 26 publications