Panoptic imaging of distributed neuronal dynamics
Abstract/Contents
- Abstract
- Anatomical evidence suggests that planning and execution of adaptive behaviors in mammals may involve coordinated neuronal activity throughout the neocortex. To investigate this previously-unapproachable hypothesis, in collaboration with others, I developed a set of optical tools for probing fast neuronal activity across many cortical regions simultaneously. One of these methods—COSMOS—allows synchronous recording at 30 Hz from over a thousand near-cellular resolution neuronal sources distributed throughout the entire dorsal neocortex of awake mice. We applied these tools to make three discoveries. First, we found global cortical representations of goal-directed task engagement, with cell-type specific dynamics. Second, we identified neuronal population representations spanning dorsal neocortex that precisely encode ongoing and planned motor actions. Third, we discovered a localized neuronal rhythm underlying dissociation, a mysterious altered behavioral state in which normally-integrated cognitive processes—such as those linking the sense of self to body-position and action—become selectively disconnected. Together, these results illuminate how circuits throughout the brain of behaving mammals function as a coupled system—and the consequences that can arise when they decouple.
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 | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Kauvar, Isaac V |
|---|---|
| Degree supervisor | Deisseroth, Karl |
| Thesis advisor | Deisseroth, Karl |
| Thesis advisor | Shenoy, Krishna V. (Krishna Vaughn) |
| Thesis advisor | Wetzstein, Gordon |
| Degree committee member | Shenoy, Krishna V. (Krishna Vaughn) |
| Degree committee member | Wetzstein, Gordon |
| Associated with | Stanford University, Department of Electrical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Isaac Kauvar. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2020. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Isaac V Kauvar
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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