東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Dynamic Navigational Coding in an Unchanging Environment.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Dynamic Navigational Coding in an Unchanging Environment./
作者:	Low, Isabel Iselin Cusick.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	110 p.
附註:	Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Contained By:	Dissertations Abstracts International84-01B.
標題:	Maps. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29176539
ISBN:	9798835549405

Dynamic Navigational Coding in an Unchanging Environment.
Low, Isabel Iselin Cusick.

Dynamic Navigational Coding in an Unchanging Environment. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 110 p.

Source: Dissertations Abstracts International, Volume: 84-01, Section: B.

Thesis (Ph.D.)--Stanford University, 2022.

This item must not be sold to any third party vendors.

In order to support complex behavior in a dynamic world, the brain must integrate internal conditions with external context. For example, during navigation an animal must combine its internal goals with sensory information to choose the appropriate actions and delineate con-textual episodes from continuous experience. The medial entorhinal cortex, a key navigational brain region, may support such dynamic integration through activity changes in single neurons, a phenomenon known as remapping. But previous studies have yet to uncover the specific impact of internal factors on remapping. Furthermore, successful integration of different internal and external factors likely relies on the coordination of many neurons, but it is not known how large populations of entorhinal neurons transition between different activity patterns together.I describe our discovery of dynamic, reversible, and population-wide remapping of spatial representations in the medial entorhinal cortex in an unchanging virtual environment (Chapters 2 - 4). Leveraging a k-means clustering model, I demonstrate that neurons all across the medial entorhinal cortex abruptly and synchronously transition between multiple maps of the same environment (Chapter 2). I next investigate the remapping responses of individual neurons and find that heterogeneity in single cell remapping patterns relates to functional cell type classifications (Chapter 3). I show that the neural population maintains a stable position estimate- despite widespread changes in spatial coding-through geometric alignment of the neural activity manifolds (Chapter 4). Variability around these manifolds and jumps between manifolds (remapping) correlates with changes in running speed, suggesting a relationship to internal state.Finally, I discuss the implications of my findings, both for navigational representations in the brain and flexible cortical coding more broadly (Chapter 5), I describe key avenues for future study, including ongoing work exploring how running speed and remapping relate to one another and how circuit interactions between functional cell types support flexible navigational coding. In two appendices, I discuss extensions of my primary work. I describe how spontaneous remapping relates to across environment remapping and explore the heterogeneity in remapping patterns across animals (Chapter 6). Further, I provide preliminary modeling results indicating that geometrically aligned manifolds are a general solution to the challenge of simultaneous navigation and context discrimination (Chapter 7). Together my findings reveal the incredible capacity of higher-order cortex to rapidly reconfigure largescale neural representations in response to behavioral state changes, tying into a larger body of emerging studies of dynamic neural coding and laying the groundwork for future research directions.

ISBN: 9798835549405Subjects--Topical Terms:

544078
Maps.

Dynamic Navigational Coding in an Unchanging Environment.
LDR:03922nmm a2200313 4500 001 2349949
005 20221010063705.5
008 241004s2022 ||||||||||||||||| ||eng d
020 $a 9798835549405
035 $a (MiAaPQ)AAI29176539
035 $a (MiAaPQ)STANFORDzm618mg9039
035 $a AAI29176539
040 $a MiAaPQ $c MiAaPQ
100 1 $a Low, Isabel Iselin Cusick. $3 3689381
245 1 0 $a Dynamic Navigational Coding in an Unchanging Environment.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 110 p.
500 $a Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
500 $a Advisor: Giocomo, Lisa;Druckmann, Shaul;Hestrin, Shaul;Shah, Nirao.
502 $a Thesis (Ph.D.)--Stanford University, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a In order to support complex behavior in a dynamic world, the brain must integrate internal conditions with external context. For example, during navigation an animal must combine its internal goals with sensory information to choose the appropriate actions and delineate con-textual episodes from continuous experience. The medial entorhinal cortex, a key navigational brain region, may support such dynamic integration through activity changes in single neurons, a phenomenon known as remapping. But previous studies have yet to uncover the specific impact of internal factors on remapping. Furthermore, successful integration of different internal and external factors likely relies on the coordination of many neurons, but it is not known how large populations of entorhinal neurons transition between different activity patterns together.I describe our discovery of dynamic, reversible, and population-wide remapping of spatial representations in the medial entorhinal cortex in an unchanging virtual environment (Chapters 2 - 4). Leveraging a k-means clustering model, I demonstrate that neurons all across the medial entorhinal cortex abruptly and synchronously transition between multiple maps of the same environment (Chapter 2). I next investigate the remapping responses of individual neurons and find that heterogeneity in single cell remapping patterns relates to functional cell type classifications (Chapter 3). I show that the neural population maintains a stable position estimate- despite widespread changes in spatial coding-through geometric alignment of the neural activity manifolds (Chapter 4). Variability around these manifolds and jumps between manifolds (remapping) correlates with changes in running speed, suggesting a relationship to internal state.Finally, I discuss the implications of my findings, both for navigational representations in the brain and flexible cortical coding more broadly (Chapter 5), I describe key avenues for future study, including ongoing work exploring how running speed and remapping relate to one another and how circuit interactions between functional cell types support flexible navigational coding. In two appendices, I discuss extensions of my primary work. I describe how spontaneous remapping relates to across environment remapping and explore the heterogeneity in remapping patterns across animals (Chapter 6). Further, I provide preliminary modeling results indicating that geometrically aligned manifolds are a general solution to the challenge of simultaneous navigation and context discrimination (Chapter 7). Together my findings reveal the incredible capacity of higher-order cortex to rapidly reconfigure largescale neural representations in response to behavioral state changes, tying into a larger body of emerging studies of dynamic neural coding and laying the groundwork for future research directions.
590 $a School code: 0212.
650 4 $a Maps. $3 544078
650 4 $a Teaching. $3 517098
650 4 $a Behavior. $3 532476
650 4 $a Neurons. $3 588699
650 4 $a Collaboration. $3 3556296
650 4 $a Boundaries. $3 545099
650 4 $a Brain research. $3 3561789
650 4 $a Virtual reality. $3 527460
650 4 $a Flexibility. $3 3560705
650 4 $a Education. $3 516579
650 4 $a Neurosciences. $3 588700
690 $a 0515
690 $a 0317
710 2 $a Stanford University. $3 754827
773 0 $t Dissertations Abstracts International $g 84-01B.
790 $a 0212
791 $a Ph.D.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29176539