Circuit dynamics of structuring episodic memories in humans
Circuit dynamics of structuring episodic memories in humans
批准号:
10590796
负责人:
Jie Zheng
金额:
$11.89万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-21 至 2024-08-31
关键词:
AddressAdvanced DevelopmentAreaBehaviorBehavioralBrainCellsClinicalClipCognitiveComputer ModelsDataDetectionDiseaseElectric StimulationElectrodesEpisodic memoryEuclidean SpaceEventFailureFeedbackGoalsHippocampus (Brain)HourHumanImageImpairmentImplanted ElectrodesInfluentialsLeadLesionLightLinkMemoryMemory DisordersMemory impairmentMentorsMicroscopicMidbrain structureModelingMonitorNeuronsNeurosciencesOutcomeOutcome StudyPatientsPhasePopulationPrefrontal CortexProcessPropertyProxyResearchRetrievalRewardsRoleSeizuresSeriesShapesSignal TransductionStructureSubstantia nigra structureSystemTechnical ExpertiseTestingTheoretical modelTherapeutic InterventionTimeTrainingUpdateWorkbehavior measurementcomputational neurosciencedeep brain stimulatordeviantdopaminergic neuronexperiencehigh dimensionalityimplantationinsightmemory recognitionmoviemultisensoryneural prosthesisneuromechanismnovelrelating to nervous systemresponsesensory input
中文摘要
项目摘要
我们的生活随着时间的推移而展开,将丰富,动态和多感官的信息编织成一种连续的体验。
然而,我们记得这是一系列离散事件。例如,两小时电影的记忆
由一些与故事主线相关的难忘时刻组成在编码过程中,我们分割异常事件,
关联相关事件。在检索过程中,我们利用编码事件之间的时间关联来搜索
特定的内存信息。海马(HPC)、前额叶皮层(PFC)和黑质(SN)是
被认为支持认知计算(即,概念预测,预测误差检测,时态
关联),这是至关重要的编码和检索的情节记忆。然而,这三个地区
共同促进人类情景记忆的构建仍然不清楚。拟定研究
旨在通过识别HPC-PFC-SN网络中的神经动力学并揭示电路级神经
事件分割的机制及其与人类情景记忆的关系。
中心假设是事件分割,这是影响情景记忆的形成和提取,
从HPC感知预测和接收到的感官输入之间的差异中出现,
由SN中的多巴胺能神经元跟踪以更新存储在PFC中的事件模型。为了测试这一点,我将记录
HPC-PFC-SN网络中的单个神经元活动和局部场电位信号,而患有
用于临床目的植入的深度电极,编码和检索半现实体验的记忆
由精心控制的视频剪辑创建。我还将建立一个计算模型,
观察到的行为和神经特征经训练的模型将用作HPC-PFC-SN的代理
网络,通过模拟来研究这三方网络与记忆行为之间的因果关系
计算“损伤”,这将为真实的电刺激提供有见地的指导。
为了实现拟议的目标,我将参加由不同领域专家指导的培训,包括
术中记录(Ziv威廉姆斯博士和Adam Mamelak博士),区域间神经元分析
动力学和电刺激(Ueli Rutishauser博士)和计算建模(Gabriel Kreiman博士)。
综合分析方法从行为测量,侵入性神经记录
微观和介观水平,计算建模和电刺激将提供有价值的
加强我们对人类情景记忆系统的理解。的预期成果
这一提议将有可能推动开发与记忆有关的障碍的治疗干预措施。
英文摘要
Project summary
Our lives unfold over time, weaving rich, dynamic, and multisensory information into a continuous experience.
However, we remember this as a series of discrete events. For example, the memory of a two-hour movie
consists of a few memorable moments tied to the main story. During encoding, we segment deviant events and
associate relevant events. During retrieval, we utilize the temporal association among encoded events to search
for specific memory information. The hippocampus (HPC), prefrontal cortex (PFC) and substantia nigra (SN) are
thought to support cognitive computations (i.e., conceptual prediction, prediction error detection, temporal
association) that are critical for the encoding and retrieval of episodic memory. However, how these three regions
work together to facilitate the construction of episodic memory in humans remains unclear. The proposed study
aims to address this by identifying neural dynamics in the HPC-PFC-SN network and revealing circuit-level neural
mechanisms of event segmentation and its relationship with human episodic memory.
The central hypothesis is that event segmentation, which is influential in episodic memory formation and retrieval,
emerges from the difference between the HPC perceptual predictions and received sensory inputs, which is
tracked by dopaminergic neurons in the SN to update event models stored in the PFC. To test this, I will record
both single neuron activity and local field potential signals in the HPC-PFC-SN network while patients, who have
depth electrodes implanted for clinical purposes, encode, and retrieve the memory of semi-realistic experience
created by well-controlled video clips. I will also build a computational model that can rigorously reproduce the
observed behavioral and neural signatures. The trained model will be used as a proxy of the HPC-PFC-SN
network to study the causal link between this tripartite network and memory behaviors by simulating
computational “lesions”, which will provide insightful guidance for real electrical stimulation.
To achieve the proposed goals, I will pursue training mentored by a group of experts in different fields, including
the intraoperative recordings (Dr. Ziv Williams and Dr. Adam Mamelak), analyses of inter-regional neural
dynamics and electrical stimulation (Dr. Ueli Rutishauser), and computational modeling (Dr. Gabriel Kreiman).
The comprehensive analytic approaches spinning from behavior measurements, invasive neural recordings from
both microscopic and mesoscopic levels, computational modeling and electrical stimulation will provide valuable
opportunities to strengthen our understanding of human episodic memory system. The expected outcomes of
this proposal will potentially advance the development of therapeutic interventions for memory-related disorders.
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会议论文
Circuit Dynamics of Structuring Episodic Memories in Humans
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批准号:10708113
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项目类别:
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资助金额:$11.56万
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财政年份:2022
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负责人:Jie Zheng
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依托单位:
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批准号:10230423
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Noninvasive Monitoring of Hepatic Glutathione Depletion Through Blood Test
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批准号:10377423
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项目类别:
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资助金额:$36.47万
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财政年份:2021
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Noninvasive Monitoring of Hepatic Glutathione Depletion Through Blood Test
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批准号:10552664
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资助金额:$36.01万
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财政年份:2021
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负责人:Jie Zheng
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依托单位:
Glomerular Filtration of Sub-nm Gold Nanoparticles
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批准号:10188515
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项目类别:
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资助金额:$35.58万
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财政年份:2018
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负责人:Jie Zheng
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依托单位:
Surface chemistry for high-contrast fluorescence kidney imaging
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批准号:9110279
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项目类别:
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资助金额:$33.01万
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财政年份:2014
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负责人:Jie Zheng
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依托单位:
Surface chemistry for high-contrast fluorescence kidney imaging
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批准号:8753250
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项目类别:
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资助金额:$34.04万
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财政年份:2014
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负责人:Jie Zheng
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依托单位:
Surface chemistry for high-contrast fluorescence kidney imaging
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批准号:8912470
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项目类别:
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资助金额:$33.33万
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财政年份:2014
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负责人:Jie Zheng
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依托单位:
Develop a Dual Functional Nanoprobe for Integration of Fluorescence microscopy wi
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批准号:8223169
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项目类别:
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资助金额:$19.13万
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财政年份:2011
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负责人:Jie Zheng
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依托单位:
Develop a Dual Functional Nanoprobe for Integration of Fluorescence microscopy wi
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批准号:8047401
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项目类别:
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资助金额:$21.04万
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财政年份:2011
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负责人:Jie Zheng
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依托单位:
A? PEPTIDES INTERACTIONS WITH LIPID BILAYERS: IMPLICATIONS FOR AGGREGATION AND
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批准号:8364370
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项目类别:
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资助金额:$0.1万
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财政年份:2011
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负责人:Jie Zheng
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依托单位:
Cell-and Nucleus-Permeable Luminescent Gold Nanoparticles
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批准号:7712134
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项目类别:
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资助金额:$20.84万
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财政年份:2009
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负责人:Jie Zheng
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依托单位:
Cell-and Nucleus-Permeable Luminescent Gold Nanoparticles
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批准号:7894800
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项目类别:
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资助金额:$18.57万
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财政年份:2009
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负责人:Jie Zheng
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依托单位:
海外基金