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Shelton, Christian R.

doi:10.1023/a:1008170818506

Cited by 59 publications

(4 citation statements)

References 21 publications

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“…Embryos at the fourto eight-cell stage were selected for embryo transfer on the basis of morphology. Surrogate females were selected on the basis of serum estradiol and progesterone levels (15). 13.…”

mentioning

confidence: 99%

Categorical Representation of Visual Stimuli in the Primate Prefrontal Cortex

Freedman

Riesenhuber

Poggio

et al. 2001

Science

981

784

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The ability to group stimuli into meaningful categories is a fundamental cognitive process. To explore its neural basis, we trained monkeys to categorize computer-generated stimuli as "cats" and "dogs." A morphing system was used to systematically vary stimulus shape and precisely define the category boundary. Neural activity in the lateral prefrontal cortex reflected the category of visual stimuli, even when a monkey was retrained with the stimuli assigned to new categories.

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mentioning

confidence: 99%

Categorical Representation of Visual Stimuli in the Primate Prefrontal Cortex

Freedman

Riesenhuber

Poggio

et al. 2001

Science

981

784

View full text Add to dashboard Cite

show abstract

“…By using Shelton's method [40] of finding surface mesh correspondence, we can estimate correspondence between the surfaces of the landmark anatomic structures of the reference and target subjects. The following energy function for which smaller values indicate better correspondences is defined to evaluate possible correspondence relations:…”

Section: Methodsmentioning

confidence: 99%

Head and neck lymph node region delineation with image registration

Teng

Shapiro

Kalet

2010

BioMedical Engineering OnLine

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BackgroundThe success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can compute a contour set defining a target volume on a set of patient images will contribute greatly to the success of radiation therapy and dramatically reduce the workload of radiation oncologists, who currently draw the target by hand on the images using simple computer drawing tools. The most challenging part of this process is to estimate where there is microscopic spread of disease.MethodsGiven a set of reference CT images with "gold standard" lymph node regions drawn by the experts, we are proposing an image registration based method that could automatically contour the cervical lymph code levels for patients receiving radiation therapy. We are also proposing a method that could help us identify the reference models which could potentially produce the best results.ResultsThe computer generated lymph node regions are evaluated quantitatively and qualitatively.ConclusionsAlthough not conforming to clinical criteria, the results suggest the technique has promise.

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“…A subset of the total sample (n = 61 children; n = 40 young adults) completed a computerized task, which combined elements of the MST and the spatial reconstruction task and was designed to assess their ability to discriminate between perceptually similar objects and reconstruct spatial arrays involving these objects. The stimuli for this task were presented using Presentation software (NeuroBS) and were comprised of a large set of morph images that were generated by applying an algorithm (Shelton, 2000) to three cat and three dog prototype images (see Figure 3a). Every combination of cat and dog prototypes was utilized, resulting in nine distinct stimulus sets (hereafter referred to as "morph-lines"), each containing sixteen stimuli, including the cat and dog prototypes from which the morph-line was generated (see Figure 3b).…”

Section: Object Discrimination and Distribution (Odd) Taskmentioning

confidence: 99%

Differential development of relational memory and pattern separation

et al. 2019

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Researchers have taken a number of different approaches in their exploration of hippocampal function. One approach seeks to describe hippocampal function by probing the memory representations that the hippocampus supports. Another approach focuses on the role of the hippocampus in pattern separation and completion. Each of these approaches to understanding hippocampal function utilizes a distinct set of specialized tasks, and both of these task sets are known to be sensitive to changes in hippocampal function with age and disease status. But the question remains whether the tasks utilized in these two approaches tap into the same aspects of hippocampal function. We explored this question in the context of hippocampal development. Preadolescent children (N = 73) and young adults (N = 41) completed an identical battery of cognitive tasks consisting of a spatial reconstruction relational memory task, the mnemonic similarity task (MST)—an object‐based pattern separation task, and a novel hybrid task—the Object Discrimination and Distribution (ODD) Task—designed to integrate and simultaneously tax pattern separation and spatial relational memory. Children did not demonstrate impairments in lure discrimination relative to young adults on either the object‐based pattern separation task or for aspects of the ODD task that required pattern separation in the absence of relational memory demands but performed more poorly across aspects of tasks that required relational binding.

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Untitled

Cited by 59 publications

References 21 publications

Categorical Representation of Visual Stimuli in the Primate Prefrontal Cortex

Categorical Representation of Visual Stimuli in the Primate Prefrontal Cortex

Head and neck lymph node region delineation with image registration

Differential development of relational memory and pattern separation

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