Studying Memory Retrieval at the Dynamic Neural Network Level
研究动态神经网络级别的记忆检索
基本信息
- 批准号:8863829
- 负责人:
- 金额:$ 36.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-04-01 至 2020-03-31
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsAlzheimer&aposs DiseaseAnimal ModelAnimalsAreaBehavior DisordersBehavioralBiological Neural NetworksCodeComputational TechniqueCuesDataDegenerative DisorderElectrodesGenesHigher Order Chromatin StructureIndividualInferiorIsing modelLateralLearningLinear ModelsMacaca mulattaMemoryMethodologyMethodsMicroelectrodesModelingNatureNeurodegenerative DisordersNeuronsNeurosciencesParkinson DiseasePatternPopulationPrimatesPrincipal InvestigatorProcessResearchRetrievalStimulusStructureTechniquesTestingTheoretical StudiesTimeTrainingTreesUp-RegulationVisualWorkawakebasecognitive functioncognitive processdevelopmental diseaseinformation modelinnovationinsightmemory processmemory recallmemory retrievalmillisecondnoveloptogeneticspublic health relevancerelating to nervous systemtheoriesway finding
项目摘要
DESCRIPTION (provided by applicant): A fundamental question in neuroscience is how memories are represented by the collective pattern of spiking within neural populations. A related question is whether the same collective pattern used to represent memories during learning are "reactivated" during later recall, or if the nature of the population code is vitally different. While prior theoretical work and more recent work in animal models have provided valuable initial insights into how memories are likely represented, the neural process by which memories are actually retrieved at the network-wide level, what exact aspects of the first-, second- and higher-order network structure are informative of the retrieved memories, and by what rapid sub-second dynamic do such informative patterns evolve within individual trials remain fundamentally unknown. This limited understanding is particularly true of hetero-associative memory processes such as cued recollection in which the items being recalled are both absent and completely unique from the presented items used to cue their retrieval. Here, we aim to systematically define, for the first time, the combined network-level processes that underlie these basic forms of auto-associative (recognition) and hetero-associative (recollection) memory. Towards these ends, we will use the shared expertise of the two principal investigators to perform simultaneous multi-electrode recordings from frontal and temporal cortical populations in Rhesus macaques; devise and test novel analysis methodologies that can both reliably infer the collective first-, second- and higher-order functional network structures from stochastic spiking data; track their rapid sub-second dynamics within individual trials; identify which structures are informative of the memories being recalled; determine when and to what extent spiking network structures observed during learning reactivate during recall within individual-day sessions; and, perhaps most importantly, determine whether pattern reactivation, at the spiking network-level, is causatively related to recall accuracy at the behavioral level. Th present proposal will allow us to directly test, for the first time, a number of central hypotheses
on memory processing using a novel set of technical and methodological innovations that will have broad practical implications to the study of memory-related developmental, behavioral and neurodegenerative disorders.
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ziv Williams其他文献
Ziv Williams的其他文献
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{{ truncateString('Ziv Williams', 18)}}的其他基金
A formal group theory-based model in primates for studying interactive social behavior and its dysfunction
用于研究互动社会行为及其功能障碍的基于正式群体理论的灵长类动物模型
- 批准号:
10567456 - 财政年份:2023
- 资助金额:
$ 36.96万 - 项目类别:
Studying semantic processing during language comprehension in humans at the single-cellular level
在单细胞水平上研究人类语言理解过程中的语义处理
- 批准号:
10280022 - 财政年份:2022
- 资助金额:
$ 36.96万 - 项目类别:
Studying semantic processing during language comprehension in humans at the single-cellular level
在单细胞水平上研究人类语言理解过程中的语义处理
- 批准号:
10591471 - 财政年份:2022
- 资助金额:
$ 36.96万 - 项目类别:
An integrated single-neuronal, population-, local network- and stimulation-based prefrontal investigation of human social cognition
基于单神经元、群体、局部网络和刺激的人类社会认知的综合前额叶研究
- 批准号:
10615632 - 财政年份:2021
- 资助金额:
$ 36.96万 - 项目类别:
An integrated single-neuronal, population-, local network- and stimulation-based prefrontal investigation of human social cognition
基于单神经元、群体、局部网络和刺激的人类社会认知的综合前额叶研究
- 批准号:
10396104 - 财政年份:2021
- 资助金额:
$ 36.96万 - 项目类别:
An integrated single-neuronal, population-, local network- and stimulation-based prefrontal investigation of human social cognition
基于单神经元、群体、局部网络和刺激的人类社会认知的综合前额叶研究
- 批准号:
10200517 - 财政年份:2021
- 资助金额:
$ 36.96万 - 项目类别:
Using game theory in primates to study the distributed neuronal and time-casual underpinnings of interactive social behavior
利用灵长类动物的博弈论来研究交互式社交行为的分布式神经元和时间休闲基础
- 批准号:
10197791 - 财政年份:2017
- 资助金额:
$ 36.96万 - 项目类别:
Studying Memory Retrieval at the Dynamic Neural Network Level
研究动态神经网络级别的记忆检索
- 批准号:
9001383 - 财政年份:2015
- 资助金额:
$ 36.96万 - 项目类别:
Neuronal based prosthetic control of volitional movement
基于神经元的意志运动假肢控制
- 批准号:
7933184 - 财政年份:2009
- 资助金额:
$ 36.96万 - 项目类别:
Neuronal based prosthetic control of volitional movement
基于神经元的意志运动假肢控制
- 批准号:
7663561 - 财政年份:2009
- 资助金额:
$ 36.96万 - 项目类别: