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Unraveling emotion regulation: optical and mathematical dissection of complex neural population dynamics

https://repo.qst.go.jp/records/2002909
https://repo.qst.go.jp/records/2002909
1c1c2d35-0eda-4a46-b8e3-0e59b4ab6859
アイテムタイプ 会議発表用資料 / Presentation(1)
公開日 2026-03-02
タイトル
タイトル Unraveling emotion regulation: optical and mathematical dissection of complex neural population dynamics
言語 en
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言語 eng
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資源タイプ識別子 http://purl.org/coar/resource_type/c_c94f
資源タイプ conference presentation
著者 Agetsuma Masakazu

× Agetsuma Masakazu

Agetsuma Masakazu

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内容記述 Emotion regulation enables adaptive responses to environmental changes, and thus is critical for survival. The brain plays a central role in this process, with the prefrontal cortex serving as a key hub that coordinates emotional regulation by integrating external sensory information, interoceptive signals, and past experiences (i.e., memories). Although it has been proposed that neurons in the prefrontal cortex work together as a group for such complex processes, the mechanisms by which these neuronal populations store and process information for emotion regulation remain poorly understood. To address this point, we have been developing in vivo deep-brain two-photon imaging methods in mice, which enable imaging of brain regions implicated in emotion regulation (including the medial prefrontal cortex and the brainstem) at cellular resolution. We also integrated the imaging system with behavioral paradigms to monitor neural representations during emotion regulation, and combined them with machine learning-based analyses to dissect the underlying neural computation. In this talk, I will present our recent findings on neural population dynamics underlying fear memory. Specifically, I will discuss how our approach seeks to uncover the computations by which neural populations, organized into networks, give rise to fear memory encoding.
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内容記述 The 7th International Symposium for Bioimaging
発表年月日
日付 2026-02-27
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