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中文摘要
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英文摘要
Sleep is critical to memory and learning. During rapid eye movement (REM) or non-REM (NREM) sleep, subgroups of cell assemblies in hippocampal and sensory cortical circuits are reactivated in a temporally coordinated manner, forming a cortical-hippocampal-cortical loop of information processing during memory consolidation. Deciphering neural codes of hippocampal-neocortical memories during sleep would reveal important circuit mechanisms of memory consolidation. To date, a complete understanding of the mechanisms of hippocampal-neocortical memory processing and the interaction of their specific spatial/non­ spatial memory representations during sleep is lacking. Furthermore, little is known about the causal impact of the hippocampal-neocortical interactions on subsequent memory reactivation or post-sleep learning. In this proposal, we will dissect representations of spatial ("where") and visual ("what") memory in the rodent hippocampal CA1 and primary visual cortex (V1) during sleep. We will combine electrophysiology, population-decoding methods, optogenetics and closed-loop neural interface to decipher sleep-associated CA1-V1 population codes in memory coding. In Aim 1, we will identify visual cortical representations in a spatial navigation task and determine visual cortical neuronal firing dependency on space, experiences and visual cues. In Aim 2, we will uncover "where" (spatial) and "what" (visual) representations of CA1-V1 memory reactivations during sleep. In Aim 3, we will determine the causal role of the hippocampus in the V1-CA1-V1 loop of memory consolidation during sleep. Together, these results will enable us to casually dissect circuit mechanisms of hippocampal-neocortical memory coding during sleep, and to establish a new analysis paradigm to identify the contents of hippocampal-memory reactivations during sleep. Our project will provide further insight into memory-related neurological and psychiatric disorders and potential therapeutic treatment for targeted memory reactivation or enhancement.
期刊论文(22)
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科研奖励(0)
会议论文
Pixel-wise programmability enables dynamic high-SNR cameras for high-speed microscopy.
逐像素可编程性可实现用于高速显微镜的动态高信噪比相机。
DOI: 10.1101/2023.06.27.546748
发表时间: 2023
期刊: bioRxiv : the preprint server for biology
影响因子: --
作者: [Zhang,Jie, Newman,Jonathan, Wang,Zeguan, Qian,Yong, Guo,Wei, Chen,ZheSage, Linghu,Changyang, Etienne-Cummings,Ralph, Fossum,Eric, Boyden,Edward, Wilson,Matthew]
通讯作者: Wilson,Matthew
DOI: 10.1016/j.celrep.2022.111777
发表时间: 2022-12-13
期刊: Cell reports
影响因子: 8.8
作者: []
通讯作者:
Detecting acute pain signals from human EEG.
检测人类脑电图的急性疼痛信号。
DOI: 10.1016/j.jneumeth.2020.108964
发表时间: 2021-01-01
期刊: Journal of neuroscience methods
影响因子: 3
作者: [Sun G, Wen Z, Ok D, Doan L, Wang J, Chen ZS]
通讯作者: Chen ZS
DOI: 10.1162/neco_a_01281
发表时间: 2020-06
期刊: Neural computation
影响因子: 2.9
作者: [Tu M, Zhao R, Adler A, Gan WB, Chen ZS]
通讯作者: Chen ZS
10
    Predictive Biosignature for Endoscopic Therapy for Chronic Pancreatitis Pain
    Data and Analytical Core
    • 批准号:
      10633812
    • 项目类别:
    • 资助金额:
      $34.7万
    • 财政年份:
      2023
    • 负责人:
      Zhe Sage Chen
    • 依托单位:
    Cortical information integration as a model for pain perception and behavior
    CRNS: An Integrative Study of Hippocampal-Neocortical Memory Coding during Sleep
    海外基金