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Dive into the research topics where Elias H. Cohen is active.

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Featured researches published by Elias H. Cohen.


Cognition | 2003

Detection of change in shape: an advantage for concavities

Elan Barenholtz; Elias H. Cohen; Jacob Feldman; Manish Singh

Shape representation was studied using a change detection task. Observers viewed two individual shapes in succession, either identical or one a slightly altered version of the other, and reported whether they detected a change. We found a dramatic advantage for concave compared to convex changes of equal magnitude. Observers were more accurate when a concavity along the contour was introduced, or removed, compared to a convexity. This result sheds light on the underlying representation of visual shape, and in particular the central role played by part-boundaries. Moreover, this finding shows how change detection methodology can serve as a useful tool in studying the specific form of visual representations.


Vision Research | 2007

The relationship between spatial pooling and attention in saccadic and perceptual tasks

Elias H. Cohen; Brian S. Schnitzer; Timothy M. Gersch; Manish Singh; Eileen Kowler

Saccades aimed at spatially extended targets land reliably at central locations determined by pooling information across the target shape [Melcher, D., & Kowler, E. (1999). Shape, surfaces and saccades. Vision Research, 39, 2929-2946; Vishwanath, D., & Kowler, E. (2003). Localization of shapes: Eye movements and perception compared. Vision Research, 43, 1637-1653]. Previous findings of saccadic errors when attempting to look at a target in the midst of distractors encouraged suggestions that pooling occurs indiscriminately, with little or no influence of a selective filter to eliminate the influence of nearby distractors. To determine the effectiveness of filtering, saccadic localization was studied for saccades made to a set of target elements (discs) interleaved with an equivalent set of distractors of a different color. With such interleaved elements, selection and spatial pooling are constrained to occur over the same spatial region. The results showed that filtering was effective and saccadic landing position was determined mainly by the target elements. Concurrent perceptual judgments made about the same stimuli (estimating the mean size of either target or distractor discs) showed better performance for the target discs than distractors, confirming that perceptual attention was allocated to the set of target elements. These results: (1) support the role of attention in setting the input to the spatial pooling process that guides saccades to spatially extended targets, and (2) show that perceptual judgments of mean value, often thought to impose modest attentional demands, are not immune to the constraints of this pre-saccadic filter.


Journal of Vision | 2008

Perceptual segmentation and the perceived orientation of dot clusters: The role of robust statistics

Elias H. Cohen; Manish Singh; Laurence T. Maloney

We investigated perceptual segmentation in the context of a perceived-orientation task. Stimuli were dot clusters formed by the union of a large elliptical sub-cluster and a secondary circular sub-cluster. We manipulated the separation between the two sub-clusters, their common dot density, and the size of the secondary sub-cluster. As the separation between sub-clusters increased, the orientation perceived by observers shifted gradually from the global principal axis of the entire cluster to that of the main sub-cluster alone. Thus, with increasing separation, the dots within the secondary sub-cluster were assigned systematically lower weights in the principal-axis computation. In addition, this shift occurred at smaller separations for higher dot densities-consistent with the idea that reliable segmentation is possible with smaller separations when the dot density is high. We propose that the visual system employs a robust statistical estimator in this task and that data points are weighted differentially based on the likelihood that they arose from a separate generative process. However, unlike in standard robust estimation, weights based on residuals are insufficient to characterize human segmentation. Rather, these must be computed based on more comprehensive generative models of dot clusters.


Journal of Vision | 2005

What change detection tells us about the visual representation of shape

Elias H. Cohen; Elan Barenholtz; Manish Singh; Jacob Feldman


Vision Research | 2007

Geometric determinants of shape segmentation: tests using segment identification.

Elias H. Cohen; Manish Singh


Journal of Vision | 2006

Perceived orientation of complex shape reflects graded part decomposition

Elias H. Cohen; Manish Singh


Journal of Vision | 2010

Searching through subsets of moving items

Elias H. Cohen; Zenon W. Pylyshyn


Journal of Vision | 2010

The effect of a secondary monitoring task on Multiple Object Tracking

Carly Leonard; Zenon W. Pylyshyn; Elias H. Cohen; John L. Dennis


Journal of Vision | 2004

The graded nature of parts in shape representation: Insights from a segment-identification task.

Elias H. Cohen; Manish Singh


Journal of Vision | 2010

Non-accidental properties and change detection

Elan Barenholtz; Elias H. Cohen; Jacob Feldman; Manish Singh

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Elan Barenholtz

Florida Atlantic University

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