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Organization of Neural Representations in Mouse Posterior Cortex for Dynamic Navigation Decisions.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Organization of Neural Representations in Mouse Posterior Cortex for Dynamic Navigation Decisions./
作者:
Tseng, Shih-Yi.
面頁冊數:
1 online resource (150 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Contained By:
Dissertations Abstracts International84-12B.
標題:
Nanoscience. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30492114click for full text (PQDT)
ISBN:
9798379605582
Organization of Neural Representations in Mouse Posterior Cortex for Dynamic Navigation Decisions.
Tseng, Shih-Yi.
Organization of Neural Representations in Mouse Posterior Cortex for Dynamic Navigation Decisions.
- 1 online resource (150 pages)
Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Thesis (Ph.D.)--Harvard University, 2023.
Includes bibliographical references
During navigation in dynamic environments, animals adaptively incorporate sensory information into a plan to guide their movements. The neural underpinning of this behavior must integrate sensory processing, navigation planning, and motor execution, and furthermore adapt the rules governing their integration based on experience. In this work we investigated the organizing principles of neural representations in mouse posterior cortex during dynamic navigation decisions. We trained mice to perform a virtual navigation task based on rule switches and developed behavioral models to infer latent cognitive processes of distinct timescales. Mice exhibited diverse decision-making strategies across trials that influenced the dynamics of choice formation within a trial, which was embodied in running trajectories. Using two-photon calcium imaging, we densely sampled activity from large populations of neurons in posterior cortex and characterized the distribution of single-neuron encoding of various sensory, motor, and cognitive variables across areas. We found that, while neural encoding was highly distributed across posterior cortex, it was well-described with three spatially distinct gradients for visual cue, spatial position plus dynamics of choice formation, and locomotion, with peaks in visual, retrosplenial, and posterior parietal cortices, respectively. We then compared the conjunctive structures of single-neuron encoding and the population geometry of neural representations for multiple variables across areas to test whether these areas specialize in the ways they combine different variables to serve distinct computations. Surprisingly, all areas combined variables similarly instead of creating unique conjunctions of variables, resulting in a high-dimensional, complex representation of variable conjunctions shared across areas. These results lead us to infer that for navigation posterior cortical areas are functionally organized not in a hierarchy but in parallel, where areas are specialized to handle streams of information for distinct modalities but work coherently to synthesize a general-purpose state representation of the environment and behavior that can guide dynamic navigation decisions.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798379605582Subjects--Topical Terms:
587832
Nanoscience.
Subjects--Index Terms:
Calcium imagingIndex Terms--Genre/Form:
542853
Electronic books.
Organization of Neural Representations in Mouse Posterior Cortex for Dynamic Navigation Decisions.
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During navigation in dynamic environments, animals adaptively incorporate sensory information into a plan to guide their movements. The neural underpinning of this behavior must integrate sensory processing, navigation planning, and motor execution, and furthermore adapt the rules governing their integration based on experience. In this work we investigated the organizing principles of neural representations in mouse posterior cortex during dynamic navigation decisions. We trained mice to perform a virtual navigation task based on rule switches and developed behavioral models to infer latent cognitive processes of distinct timescales. Mice exhibited diverse decision-making strategies across trials that influenced the dynamics of choice formation within a trial, which was embodied in running trajectories. Using two-photon calcium imaging, we densely sampled activity from large populations of neurons in posterior cortex and characterized the distribution of single-neuron encoding of various sensory, motor, and cognitive variables across areas. We found that, while neural encoding was highly distributed across posterior cortex, it was well-described with three spatially distinct gradients for visual cue, spatial position plus dynamics of choice formation, and locomotion, with peaks in visual, retrosplenial, and posterior parietal cortices, respectively. We then compared the conjunctive structures of single-neuron encoding and the population geometry of neural representations for multiple variables across areas to test whether these areas specialize in the ways they combine different variables to serve distinct computations. Surprisingly, all areas combined variables similarly instead of creating unique conjunctions of variables, resulting in a high-dimensional, complex representation of variable conjunctions shared across areas. These results lead us to infer that for navigation posterior cortical areas are functionally organized not in a hierarchy but in parallel, where areas are specialized to handle streams of information for distinct modalities but work coherently to synthesize a general-purpose state representation of the environment and behavior that can guide dynamic navigation decisions.
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