In the mind of the beholder : neural and computational mechanisms underlying perceiver-driven biases in information processing
Abstract/Contents
- Abstract
- Rather than being passive observers, people can be better described as active perceivers of the world around them. Incoming information is not passively taken in, but is selectively filtered and altered by a perceiver's beliefs, goals and motivational states. The current work examines the neural and computational underpinnings of such perceiver-driven biases in information processing. In one study, we combined computational modeling and functional magnetic resonance imaging to provide a mechanistic account of motivational biases in perceptual judgments of ambiguous images. We showed that motivational biases can be dissociated into response and perceptual components, each associated with distinct neural processes. In a second study, we extended our work to a more naturalistic setting with dynamic audio-visual stimuli. We scanned participants watching videos about immigration policy and showed that political attitudes modulated neural responses to the videos. In particular, activity timecourses in the DMPFC was more similar between participants with similar political attitudes, than between participants with opposing political attitudes. Furthermore, the neural divergence between conservative-leaning and liberal-leaning participants was associated with increased use of moral-emotional language. Together, these studies explore the neural processes involved in biasing information processing, and provide illustrative examples of how the tools of cognitive neuroscience allow us to peer into the mind of the beholder.
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 | Leong, Yuan Chang |
|---|---|
| Degree supervisor | Zaki, Jamil, 1980- |
| Thesis advisor | Zaki, Jamil, 1980- |
| Thesis advisor | Gross, James J, (Professor of psychology) |
| Thesis advisor | Poldrack, Russell A |
| Degree committee member | Gross, James J, (Professor of psychology) |
| Degree committee member | Poldrack, Russell A |
| Associated with | Stanford University, Department of Psychology. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Yuan Chang Leong. |
|---|---|
| Note | Submitted to the Department of Psychology. |
| Thesis | Thesis Ph.D. Stanford University 2019. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Yuan Chang Leong
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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