Cortical Interactions Underlying Sensory Representations
Cortical Interactions Underlying Sensory Representations
批准号:
10438601
负责人:
Jerry L Chen
金额:
$37.95万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-30 至 2024-06-30
关键词:
AffectAnatomyAreaAxonBase PairingBehaviorBiological ModelsBrainCalciumColorComplexComputer ModelsDecision MakingDissectionEnvironmentExhibitsFeedbackFutureGoalsHumanImageImplantLateralMeasuresMediatingMemoryMethodsMicroscopeModelingMotor CortexMusNeocortexNeuronsOutcomeParvalbuminsPathway interactionsPerceptionPlayPrimatesProcessRecurrenceResolutionRoleRouteSamplingSensoryShort-Term MemorySomatostatinStimulusTactileTestingTheoretical modelTimeVibrissaeWorkanatomical tracingbasecognitive functioncomparativeexperienceexperimental studyimprovedinhibitory neuroninsightlong term memorymouse modelnervous system disorderneuronal cell bodynonhuman primatenoveloptogeneticspredictive modelingresponsesensory inputsensory mechanismsomatosensorytooltwo-photon
中文摘要
项目摘要
感官知觉包括处理传入的感官输入并通过规则解释该信息
是由先前的经验产生的。刺激特征需要结合在一起,以形成更复杂的感觉
然后与效价或动作结果相关联,以赋予这些表示以意义。
在哺乳动物的新皮层中,感觉表征的形成被认为是通过
分布在几个皮层区域的处理过程。在这个框架之外,
将感官信息转化为越来越抽象的
代表性仍然未知。要实现更深层次的机制性理解,
理论模型和实验工作之间的循环,并通过
跨模式系统的比较方法。许多主要的感官理论模型
加工来源于在人类或非人类灵长类动物中进行的实验研究。它
由于有限的实验数据,很难验证或改进这些计算模型。
在这些物种中获得用于回路级解剖的工具。然而,用于电路解剖的新工具是
现在可用于小鼠。使用新开发的基于胡须的鼠标行为,
概括灵长类动物的知觉任务,我们建议调查刺激信息是如何编码的
并在初级躯体感觉、次级躯体感觉和嗅周皮层之间转换,
在感觉处理的日益复杂的阶段中起作用的突出的神经元连接区域。我们
我们的目标是实现电路级的理解如何刺激必然会产生高阶
表征,这些表征如何与行动结果相关联,以及它们是如何学习的
并根据行为要求召回。这项工作将提供关键的新的见解如何本地和远程
皮层回路的功能是建立内部表征和评估外部环境。通过测试和
在改进哺乳动物物种的皮质功能模型的基础上,我们将寻求得出共同的原则,
电路功能,解释如何越来越不变和抽象的表示可能被编码,
在大脑皮层中实现。
英文摘要
PROJECT SUMMARY
Sensory perception involves processing incoming sensory input and interpreting that information through rules
generated from prior experience. Stimulus features need to be bound together to form more complex sensory
representations and then associated with a valence or action outcome to give meaning to those representations.
In the mammalian neocortex, the formation of sensory representations is believed to occur through
processing that is distributed across several cortical areas. Beyond this general framework, the exact
circuits and computations involved in transforming sensory information into increasingly abstract
representations remain unknown. To achieve a deeper mechanistic understanding, it is necessary to close
the loop between theoretical models and experimental work and to identify common mechanisms through
comparative approaches across model systems. Many of the leading theoretical models for sensory
processing have been derived from experimental studies performed in humans or non-human primates. It
has been difficult to validate or refine these computational models because of the limited experimental
access to tools for circuit-level dissection in those species. However, novel tools for circuit dissection are
now available for applications in mice. Using newly developed whisker-based mouse behaviors that
recapitulate perceptual tasks in primates, we propose to investigate how stimulus information is encoded
and transformed across primary somatosensory, secondary somatosensory, and perirhinal cortex, three
prominent reciprocally connected areas that function at increasingly complex stages of sensory processing. Our
goal is to achieve a circuit-level understanding for how stimuli are bound to generate higher-order
representations, how such representations are associated with action outcomes, and how they are learned
and recalled as required for behavior. This work will provide critical new insight into how local and long-range
cortical circuits function to build internal representations and evaluate the external environment. By testing and
improving upon models of cortical function across mammalian species, we will seek to derive common principles
of circuit function that explain how increasingly invariant and abstract representations may be encoded and
implemented in the neocortex.
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DOI:
10.1126/science.abl5981
发表时间:
2022-01-07
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
[]
通讯作者:
DOI:
10.1016/j.cobme.2019.11.004
发表时间:
2019-12-01
期刊:
CURRENT OPINION IN BIOMEDICAL ENGINEERING
影响因子:
3.9
作者:
[Clough, Mitchell, Chen, Jerry L.]
通讯作者:
Chen, Jerry L.
DOI:
10.1038/s41592-020-0835-7
发表时间:
2020-05-25
期刊:
NATURE METHODS
影响因子:
48
作者:
[Mohr, Manuel Alexander, Bushey, Daniel, Podgorski, Kaspar]
通讯作者:
Podgorski, Kaspar
DOI:
10.1016/j.neuron.2020.02.004
发表时间:
2020-05-06
期刊:
NEURON
影响因子:
16.2
作者:
[Condylis, Cameron, Lowet, Eric, Chen, Jerry L.]
通讯作者:
Chen, Jerry L.
Efficient Two-Photon Voltage Imaging of Neuronal Populations at Behavioral Timescales
-
批准号:10516906
-
项目类别:
-
资助金额:$133.67万
-
财政年份:2022
-
负责人:Jerry L Chen
-
依托单位:
Cortical Interactions Underlying Sensory Representations
-
批准号:9789710
-
项目类别:
-
资助金额:$37.95万
-
财政年份:2018
-
负责人:Jerry L Chen
-
依托单位:
Cracking Genetically Defined Neocortical Circuits across Learning and Behavior
-
批准号:10561327
-
项目类别:
-
资助金额:$6.27万
-
财政年份:2018
-
负责人:Jerry L Chen
-
依托单位:
Population Imaging of Action Potentials by Novel Two-Photon Microscopes and Genetically Encoded Voltage Indicators
-
批准号:9588470
-
项目类别:
-
资助金额:$268.09万
-
财政年份:2018
-
负责人:Jerry L Chen
-
依托单位:
Cortical Interactions Underlying Sensory Representations
-
批准号:10215633
-
项目类别:
-
资助金额:$45.52万
-
财政年份:2018
-
负责人:Jerry L Chen
-
依托单位:
海外基金