| 研究課題/領域番号 |
23K14298
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分46030:神経機能学関連
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| 研究機関 | 東京大学 |
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研究代表者 |
Yaron Amit 東京大学, ニューロインテリジェンス国際研究機構, 特任研究員 (90895731)
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| 研究期間 (年度) |
2023-04-01 – 2026-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
4,680千円 (直接経費: 3,600千円、間接経費: 1,080千円)
2025年度: 1,690千円 (直接経費: 1,300千円、間接経費: 390千円)
2024年度: 1,560千円 (直接経費: 1,200千円、間接経費: 360千円)
2023年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
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| キーワード | Predictive Coding / Auditory Cortex / Neural Encoding / Omission Responses / Error Signaling / Prediction Error Neurons / Predictive-coding theory / Neuronal populations / Single-unit activity / Model-driven analysis / Schizophrenia and ASD |
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| 研究開始時の研究の概要 |
Exploring how rat brains process sound will reveal prediction and reaction mechanisms. This research aims to enhance brain function understanding, inspire advanced AI technology, and provide insights into mental health issues like schizophrenia and autism.
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| 研究実績の概要 |
This fiscal year, we made significant strides in predictive coding research within the rat auditory cortex. We identified neurons that robustly respond to omitted auditory stimuli, indicative of their role in encoding negative prediction errors. These neurons actively update their predictions, correlating their responses with the likelihood of expected tones. Our findings, detailed in a nearly completed paper, align well with our initial research plan and enhance our understanding of predictive mechanisms in the brain. Additionally, we have begun preliminary work with awake and with behaviorally trained rats, laying the groundwork for future studies that integrate behavioral responses with neural data.
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| 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
Our research is advancing smoothly and efficiently. We've achieved better-than-expected results with anesthetized rats, identifying key neurons in the auditory cortex that are instrumental in predictive coding. These neurons have shown unique response patterns to omitted auditory stimuli, indicating their crucial role in encoding prediction errors.
Given the significance of these findings, we decided to fully explore this avenue with anesthetized animals before moving on to experiments involving awake, behaviorally trained rats. This strategic focus allows us to deepen our understanding and solidify our results in a controlled setting.
We are in the process of finalizing a manuscript that details these discoveries and presenting it at international and local conferences.
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| 今後の研究の推進方策 |
As we plan future work, we will first finalize and submit our manuscript detailing predictive coding insights from anesthetized rats. Simultaneously, we'll develop a second paper expanding the computational modeling based on these results, enhancing our model with additional experiments.
The next phase, which we already started, involves recording from higher brain areas (like PFC) and in awake rats to identify prediction signals. This step is crucial for understanding how the brain processes expected versus actual sensory inputs in real time.
In addition, we will work on establishing the awake behaving setup in a way that will compliment our current findings.
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