Toward mechanistic cognitive neuroscience: cell types, connectivity, and patterned perturbations
迈向机械认知神经科学:细胞类型、连接性和模式扰动
基本信息
- 批准号:10673164
- 负责人:
- 金额:$ 118.65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-01 至 2025-07-31
- 项目状态:未结题
- 来源:
- 关键词:AnimalsAreaAtlasesBehaviorBehavioralBiologicalBiological ProcessBipolar DisorderBrainBrain regionCalciumCellsCellular StructuresCognitionCognitiveComplexDecision MakingDiseaseEventFoundationsGoalsImageLabelLinkMental HealthMental disordersMethodsModelingMusNeurobiologyNeuronsNeurophysiology - biologic functionNeurosciencesOutputPatternPopulationPropertyResearchRoleSchizophreniaShapesStructureSynapsesTestingTrainingViralWorkWritingcell typecognitive functioncognitive neurosciencecognitive processcognitive taskcomputerized toolsexperienceexperimental studyflexibilityneuralneural circuitneural patterningneurophysiologyoptogeneticsprogramsspatiotemporaltoolvirtual environmentvirtual reality system
项目摘要
Summary
The cognitive functions of the brain allow higher animals to interact with the world in complex and adaptive
manners. For example, animals use past experiences to develop internal models of rules and contexts that
shape subsequent decisions. These cognitive processes are disrupted in many devastating mental health
disorders. Traditional experiments in cognitive neuroscience have identified correlations between cognitive
processes and behavioral outputs or neural events. However, it has been challenging to uncover the causal
mechanisms by which cognitive processes emerge from the basic building blocks of neurobiological
computations: molecules, cells, synapses, and circuits. The reason is, in large part, because it has been difficult
to combine emerging mechanistic approaches in neuroscience with paradigms to study cognitive processes.
Here we aim to overcome these challenges by developing a research program to identify causal links between
cognitive processes and the structure – cell types and connectivity – and function – spatiotemporal activity
patterns in neural populations – of neural circuits. We recently devised a virtual reality system for mice and
developed methods to train mice to perform complex, cognitive tasks as they navigate through virtual
environments. Further, we developed neurophysiological and computational tools that have identified correlates
of cognitive processes in the activity patterns in population of neurons. We will use this foundation to establish a
research program for mechanistic cognitive neuroscience. First, we will develop an atlas of cell types in cognitive
brain regions, use viral tools to label these cell types, and then study the functional roles of these cell types
during flexible decision-making tasks. Second, we will establish methods based on single-neuron optogenetics
to reveal connectivity between identified cells during cognitive behaviors. Third, we will use calcium imaging to
‘read’ patterns of neural activity during cognitive tasks and will then ‘write’ and ‘erase’ these patterns using
patterned optogenetics to test sufficiency and necessity. We will study these structural and functional properties
in local populations of neurons (microcircuits) and across brain areas (mesocircuits). This work will expand the
emerging field of mechanistic cognitive neuroscience and develop a new research program toward the goal of
defining cognition and mental health in terms of core biological components and mechanisms.
总结
项目成果
期刊论文数量(1)
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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Christopher D Harvey其他文献
Christopher D Harvey的其他文献
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{{ truncateString('Christopher D Harvey', 18)}}的其他基金
Toward mechanistic cognitive neuroscience: cell types, connectivity, and patterned perturbations
迈向机械认知神经科学:细胞类型、连接性和模式扰动
- 批准号:
10249108 - 财政年份:2020
- 资助金额:
$ 118.65万 - 项目类别:
Toward mechanistic cognitive neuroscience: cell types, connectivity, and patterned perturbations
迈向机械认知神经科学:细胞类型、连接性和模式扰动
- 批准号:
10468896 - 财政年份:2020
- 资助金额:
$ 118.65万 - 项目类别:
Toward mechanistic cognitive neuroscience: cell types, connectivity, and patterned perturbations
迈向机械认知神经科学:细胞类型、连接性和模式扰动
- 批准号:
10011969 - 财政年份:2020
- 资助金额:
$ 118.65万 - 项目类别:
Studying perceptual decision-making across cortex by combining population imaging, connectomics, and computational modeling
通过结合群体成像、连接组学和计算模型来研究跨皮层的感知决策
- 批准号:
10242172 - 财政年份:2018
- 资助金额:
$ 118.65万 - 项目类别:
Studying perceptual decision-making across cortex by combining population imaging, connectomics, and computational modeling
通过结合群体成像、连接组学和计算模型来研究跨皮层的感知决策
- 批准号:
10460526 - 财政年份:2018
- 资助金额:
$ 118.65万 - 项目类别:
Parietal cortex networks for sensorimotor processing during navigation
顶叶皮层网络用于导航过程中的感觉运动处理
- 批准号:
8960382 - 财政年份:2015
- 资助金额:
$ 118.65万 - 项目类别:
New approaches to understand neuronal microcircuit dynamics for working memory
理解工作记忆神经元微电路动力学的新方法
- 批准号:
8955230 - 财政年份:2015
- 资助金额:
$ 118.65万 - 项目类别:
Parietal cortex networks for sensorimotor processing during navigation
顶叶皮层网络用于导航过程中的感觉运动处理
- 批准号:
10395503 - 财政年份:2015
- 资助金额:
$ 118.65万 - 项目类别:
Parietal cortex networks for sensorimotor processing during navigation
顶叶皮层网络用于导航过程中的感觉运动处理
- 批准号:
9268449 - 财政年份:2015
- 资助金额:
$ 118.65万 - 项目类别:
Parietal Cortex Networks for Sensorimotor Processing During Navigation
导航过程中用于感觉运动处理的顶叶皮层网络
- 批准号:
10614424 - 财政年份:2015
- 资助金额:
$ 118.65万 - 项目类别:
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