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2021 年度 実施状況報告書

Experimental and theoretical investigation of Bayesian inference across multiple layers in somatosensory cortex

研究課題

研究課題/領域番号 19K20348
研究機関沖縄科学技術大学院大学

研究代表者

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)

研究期間 (年度) 2019-04-01 – 2023-03-31
キーワードcalcium imaging / factor analysis / Bayesian PCA / dimensionality reduction
研究実績の概要

We started to analyze our calcium imaging data using factor analysis. The goal of factor analysis is to reduce the dimension of the neural recordings and use the reduced dimensions to find the relation between neural activities and stimulus.
While applying factor analysis to calcium imaging data, we found that the existing methods could not sufficiently reduce the dimensionality of the fluorescence recordings. Therefore, we proposed a new method based on Bayesian PCA by adding an extra Bayesian formation to the latent variables.
Our new method showed good reconstruction performance using the dimension-reduced latent variables. and application on our data showed the low-dimensional latent variable captured the motion features during locomotion and the directions of the auditory stimulus.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

Because of the pandemic, the animal experiments had to be postponed, but during this period, we analyzed the resting-state dataset and developed a new method for factor analysis on calcium imaging data. We also investigated the relations among neurons from connectivity, causality, clustering, and network features.

今後の研究の推進方策

Although we developed a new method for factor analysis on calcium imaging data and analyzed the resting data from connectivity, causality, and network features, our goal of the project is to investigate the Bayesian feature of neural activity in predicting the future stimulus input. Therefore, we need to resume animal experiments and collect more data for the Bayesian modeling of neural activities. Moreover, the Bayesian modeling of the multi-layer cortical activities needs to be done.

次年度使用額が生じた理由

1. We need to purchase new mice and prism lens for the following experiments.
2. Some consumable parts of the setup need to be replaced.
3. Cost of submitting our papers

  • 研究成果

    (1件)

すべて 2021

すべて 学会発表 (1件) (うち国際学会 1件)

  • [学会発表] Investigation of information flow and temporal-spatial organization of neurons across cortical layers from multi-depth two-photon imaging data.2021

    • 著者名/発表者名
      Yuzhe Li
    • 学会等名
      The 44th Annual Meeting of the Japan Neuroscience Society / The 1st CJK International Meeting.
    • 国際学会

URL: 

公開日: 2022-12-28  

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