Neural circuitry of self-self and self-non-self interaction
Abstract/Contents
- Abstract
- Humans typically experience life as a single self that is tightly associated with a body, conscious awareness, sense of agency, and presence in reality. Indeed, self is an ubiquitous form of human mental experience, and the recognition of a single self within each person influences the way we interact with each other, participate in political, legal, medical, cultural systems, raise children, and relate to death. In this dissertation, I describe how early insights during my first rotation project in the peripheral nervous system inspired experiments of a complex condition called dissociation in which the self is perceived to be disconnected from ones self. Appreciating that humans and social animals brains not only generate self and self-self interaction, but also model or and attend to non-self selfs, I present studies of innate visual animacy attention in rodents. Together, these three efforts investigate neural circuitry of self-self and self-non-self interaction.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2020; ©2020 |
Publication date | 2020; 2020 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Vesuna, Sam Sarosh |
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Degree supervisor | Deisseroth, Karl |
Thesis advisor | Deisseroth, Karl |
Thesis advisor | Luo, Liqun, 1966- |
Thesis advisor | Malenka, Robert C |
Thesis advisor | Nuyujukian, Paul Herag |
Degree committee member | Luo, Liqun, 1966- |
Degree committee member | Malenka, Robert C |
Degree committee member | Nuyujukian, Paul Herag |
Associated with | Stanford University, Department of Bioengineering |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Sam Vesuna. |
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Note | Submitted to the Department of Bioengineering. |
Thesis | Thesis Ph.D. Stanford University 2020. |
Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Sam Sarosh Vesuna
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