Computational linking models of human selective visual attention
Abstract/Contents
- Abstract
- To sample the important parts of the visual world observers make saccades, moving the high-resolution and color-sensitive fovea to informative locations. Choosing to make a saccade requires sampling the periphery and identifying potentially important parts of the visual scene. This covert attention, without eye movement, is essential to selecting information in an efficient manner. At an intuitive level covert attention is a focusing on a feature or a location in the visual world and a suppression of other irrelevant features and locations. When operationalized into the laboratory, cueing an observer with covert attention can be shown to result in improved detection, smaller thresholds of discrimination, faster reaction times, and suppression of distractors. These changes are known to be in part the result of small tweaks to the representation of visual stimuli in sensory cortex, but are also the result of context-dependent selection occurring after sensory processing has gone to completion. How attention implements this balance of sensory change and selection is a central problem for the neuroscience of vision.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2019; ©2019 |
| Publication date | 2019; 2019 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Birman, Daniel |
|---|---|
| Degree supervisor | Gardner, Justin, 1971- |
| Thesis advisor | Gardner, Justin, 1971- |
| Thesis advisor | Grill-Spector, Kalanit |
| Thesis advisor | Norcia, Anthony Matthew |
| Degree committee member | Grill-Spector, Kalanit |
| Degree committee member | Norcia, Anthony Matthew |
| Associated with | Stanford University, Department of Psychology. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Daniel Birman. |
|---|---|
| Note | Submitted to the Department of Psychology. |
| Thesis | Thesis Ph.D. Stanford University 2019. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Daniel Birman
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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