Visual processing faces two conflicting demands: integration and segmentation. Integration is required by inherently noisy visual signals, while segmentation is needed to extract vital information from spatiotemporal variations in visual input. An understanding of the interplay between these two mechanisms will reveal fundamentals of visual processing and also enable insights into functional roles of segmentation processes. In motion perception, the PI's recent work demonstrated that spatial integration of motion signals is not fixed, but critically depends on basic visual factors such as contrast, with spatial integration giving way to spatial suppression as stimulus visibility increases. The overarching goal of this proposal is to investigate the neural mechanisms involved in this adaptive integration/segregation of motion signals, and to elucidate their role in the segmentation of objects from moving backgrounds. The key property of spatial suppression is impaired motion perception of large, high-contrast stimuli.
In Aim 1, we will determine if and how this suppressive mechanism affects visual and oculomotor processing. Answering this question will constrain possible neural correlates of spatial suppression and, along with Aim 2, provide a test for the hypothesis linking spatial suppression to surround suppression in area MT. Substantiating this link will allow the attribution of links between spatial suppression and motion segregation (Aims 2 &3) to the involvement of MT surround suppression.
In Aim 2, we will seek direct evidence about neural correlates of spatial suppression by impairing processing in MT and early visual areas with TMS. We expect that a disruption of neural mechanisms critically involved in spatial suppression will allow normally suppressed motion signals to reach perception. Concurrently, we will also determine whether the same stimulation that impairs spatial suppression also disrupts motion segregation.
In Aim 3, we test the hypothesis that spatial suppression directly enables rapid segregation of moving objects by suppressing background motion signals. Here, the role of spatial suppression in motion segregation is conceptualized as a coarse, but rapid, region-based segmentation process. This hypothesis predicts that variations in spatial suppression (and, thus, in the visibility of background motion) should predict corresponding changes in motion segregation and vice versa. Exploiting different experimental approaches, we will test this prediction by utilizing stimulus manipulations, individual differences and perceptual learning to produce variations in either spatial suppression or motion segregation. One focus will be on older adults, who are known to exhibit weak spatial suppression. We will determine whether this abnormality predicts motion segregation deficits and whether age-related deficits in spatial suppression can be reversed by the perceptual learning of motion segregation.

Public Health Relevance

The knowledge of mechanisms underlying spatial suppression and motion segregation will contribute to the understanding of age-related changes in these two basic visual processes. Moreover, understanding how these age-related deficits can be alleviated through perceptual learning might lead to the development of viable interventions.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY019295-04
Application #
8515419
Study Section
Central Visual Processing Study Section (CVP)
Program Officer
Wiggs, Cheri
Project Start
2010-08-01
Project End
2015-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
4
Fiscal Year
2013
Total Cost
$246,582
Indirect Cost
$86,982
Name
University of Rochester
Department
Miscellaneous
Type
Schools of Arts and Sciences
DUNS #
041294109
City
Rochester
State
NY
Country
United States
Zip Code
14627
Murray, Scott O; Schallmo, Michael-Paul; Kolodny, Tamar et al. (2018) Sex Differences in Visual Motion Processing. Curr Biol 28:2794-2799.e3
Schauder, Kimberly B; Park, Woon Ju; Tadin, Duje et al. (2017) Larger Receptive Field Size as a Mechanism Underlying Atypical Motion Perception in Autism Spectrum Disorder. Clin Psychol Sci 5:827-842
Park, Woon Ju; Schauder, Kimberly B; Zhang, Ruyuan et al. (2017) High internal noise and poor external noise filtering characterize perception in autism spectrum disorder. Sci Rep 7:17584
Nyquist, Jeffrey B; Lappin, Joseph S; Zhang, Ruyuan et al. (2016) Perceptual training yields rapid improvements in visually impaired youth. Sci Rep 6:37431
Melnick, Michael D; Tadin, Duje; Huxlin, Krystel R (2016) Relearning to See in Cortical Blindness. Neuroscientist 22:199-212
Cavanaugh, Matthew R; Zhang, Ruyuan; Melnick, Michael D et al. (2015) Visual recovery in cortical blindness is limited by high internal noise. J Vis 15:9
Kwon, Oh-Sang; Tadin, Duje; Knill, David C (2015) Unifying account of visual motion and position perception. Proc Natl Acad Sci U S A 112:8142-7
Levi, Aaron; Shaked, Danielle; Tadin, Duje et al. (2015) Is improved contrast sensitivity a natural consequence of visual training? J Vis 15:4
Tadin, Duje (2015) Suppressive mechanisms in visual motion processing: From perception to intelligence. Vision Res 115:58-70
Glasser, Davis M; Tadin, Duje (2014) Modularity in the motion system: independent oculomotor and perceptual processing of brief moving stimuli. J Vis 14:28

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