2022 Fiscal Year Annual Research Report
Experimental and theoretical investigation of Bayesian inference across multiple layers in somatosensory cortex
| Project/Area Number |
19K20348
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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 / cortical layers / dimensionality reduction / prism lens / calcium imaging |
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| Outline of Annual Research Achievements |
1.We have successfully achieved simultaneous recordings of neural activities from multiple layers in the primary sensory cortex. This was accomplished by employing multiple virus injections at different depths and utilizing a prism lens implanted with a one-photon endoscope.
2.To process our high-dimensional and noisy data, I developed a novel approach to effectively and automatically reduce dimensionality.
3.By integrating an innovative task design with a custom-made experimental setup, we successfully established an optimized environment to record neural activity while animals performed a sensorimotor task under conditions of uncertainty.
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