2022 Fiscal Year Final Research Report
Experimental and theoretical investigation of Bayesian inference across multiple layers in somatosensory cortex
| Project/Area Number |
19K20348
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 61030:Intelligent informatics-related
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| Research Institution | Okinawa Institute of Science and Technology Graduate University |
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Principal Investigator |
Li Yuzhe 沖縄科学技術大学院大学, 神経計算ユニット, スタッフサイエンティスト (30815436)
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| Project Period (FY) |
2019-04-01 – 2023-03-31
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| Keywords | Bayesian inference / Decision making / Uncertainty / Cortical layers / Calcium imaging / functional connectivity / dimensionality reduction / metastate |
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| Outline of Final Research Achievements |
This project aims to investigate how animals make decisions in uncertain environments and how neural activity across different cortical layers contributes to the decision-making process. To achieve this, we designed a lever push/pull task for mice and implanted a prism lens in the cortex to simultaneously capture calcium imaging data from multiple layers. To analyze the noisy calcium imaging data, we developed a dual ARD (Automatic Relevance Determination) method for dimensionality reduction, which also was used for decoding and encoding in subsequent analyses. Furthermore, we have explored the temporal and spatial connectivity patterns among neurons from different layers. We are currently utilizing Bayesian models to analyze the neural activities. By integrating the various approaches we have developed throughout this project and continuing our ongoing efforts, we anticipate uncovering valuable insights into decision-making process that takes place among different cortical layers.
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| Free Research Field |
Computational neuroscience
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| Academic Significance and Societal Importance of the Research Achievements |
The exploration of neural activity patterns across cortical layers provides insights into how different layers of the brain communicate and organize information. Understanding how decision-making occurs at the neural level will deepen our understanding of human behavior, cognition, and perception.
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