Function of high-level visual cortex in awake infants.
清醒婴儿高级视觉皮层的功能。
基本信息
- 批准号:10319402
- 负责人:
- 金额:$ 4.45万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-07-01 至 2022-05-26
- 项目状态:已结题
- 来源:
- 关键词:AddressAdultArchitectureAreaAutomobile DrivingAwardBrainCategoriesCollaborationsCommunitiesComplexComputer ModelsDataDevelopmentEnvironmentFaceFrequenciesGoalsHumanInfantInstitutionLanguageLearningLeftLocationMachine LearningMagnetic ResonanceMagnetic Resonance ImagingMapsMeasurementMedialMentorshipMethodsMindModelingModernizationMorphologic artifactsMotionMotivationNeural Network SimulationNeurosciencesNewborn InfantPatternPhasePopulationPrefrontal CortexResearchResearch PersonnelResearch Project GrantsScanningSocial DesirabilitySocial supportStimulusSumTechniquesTemporal LobeTestingTimeTrainingVisualVisual CortexVisual system structureWorkartificial neural networkawakecognitive neurosciencecomputational neurosciencecomputing resourcesdesignexperienceextrastriateextrastriate visual cortexfusiform face areaimprovedinattentioninfancyinnovationinsightlearning algorithmlearning communitymodel designobject recognitionorganizational structurepost-doctoral trainingpre-doctoralprogramsresponsesocial cognitionsocial engagementtechnological innovationtheoriestoolvision development
项目摘要
Project Summary
Functional magnetic resonance imagining (fMRI) has revealed two major principles of the functional organization
of the ventral temporal cortex (VTC) in human adults. First, some regions of VTC respond selectively to a specific
category of stimuli, such as the fusiform face area (FFA) which responds more to faces than to any other stimulus
category. The second principle of organization is that different categories of stimuli have systematically distinct
patterns of response across the entire VTC. How do these two key aspects of VTC functional organization in
adults arise in development? The goal of my research program is to discover if these organizing principles are
present in the infant brain (Aims 1 and 2) and design computational models to test different theories of cortical
development (Aim 3).
The dissertation work in this proposal will provide invaluable data toward the goal of refining theories of cortical
development. In addition to innovations that enhance the quality of awake infant fMRI data, Aim 1 provides the
first evidence that like adults, infants have face-selective responses in the FFA, scene-selective responses in
the parahippocampal place area (PPA), and body-selective responses in the extrastriate body area (EBA).
Aim 2 directly follows this up by asking if infants have systematically distinct patterns of response across higher-
level visual areas that are similar to those found in the adult brain. The F99 phase of this proposal will provide
training to optimize machine learning (ML) techniques that can withstand the unique challenges of infant fMRI
data – specifically unbalanced and missing data. The F99 phase will be conducted at MIT, an intellectual
environment with access to leaders in the fields of ML, cognitive neuroscience, and computational neuroscience.
Finally, Aim 3 of this proposal is to build computational models designed to test current theories of cortical
development. The K00 phase of this proposal will provide training on the design and implementation of artificial
neural networks (ANNs) models as well as training on the best methods to test ANN models using infant fMRI
data. Research for the K00 phase will provide a new mentorship experience with an established investigator in
computational neuroscience and will take place at an institution with a thriving intellectual environment that has
access to an MRI scanner and the computational resources necessary to build a variety of ANN models.
In summary, the objective of the proposed research is to determine if the principles of functional organization in
the adult brain are present in infants. Insights from this proposal will advance and refine theories of cortical
development and have the potential to be applicable to other domains such audition and language. Further, by
combining my predoctoral training in awake infant fMRI with my proposed postdoctoral training in computational
modeling, the proposed research will enable me to become an independent investigator and leader in the field
of computational developmental neuroscience.
项目摘要
功能磁共振想象力(fMRI)揭示了功能组织的两个主要原理
人类成年人的腹侧临时皮层(VTC)首先,VTC的某些区域对特定
刺激类别的类别,例如梭形面积(FFA),其对面的反应更多,而不是其他刺激
类别。组织的第二个原则是,不同类别的刺激具有系统上不同的
整个VTC的响应模式。 VTC功能组织的这两个关键方面如何
成人出现在发展中?我的研究计划的目的是发现这些组织原则是否
存在于婴儿大脑(目标1和2)和设计计算模型以测试皮质的不同理论
开发(目标3)。
本提案中的论文工作将提供宝贵的数据,以完善皮质理论
发展。除了提高清醒婴儿fMRI数据质量的创新外,AIM 1提供了
第一个证据表明,像成年人一样,婴儿在FFA中具有面部选择性反应,场景选择反应
parahampocampal位置区域(PPA)和体外身体区域(EBA)的身体选择反应。
AIM 2通过询问婴儿是否具有较高较高的响应模式,直接遵循这一点
与成人大脑相似的视觉区域。该提案的F99阶段将提供
培训以优化机器学习(ML)技术,可以承受婴儿fMRI的独特挑战
数据 - 特别是不平衡和缺失的数据。 F99阶段将在麻省理工学院(MIT)进行
在ML,认知神经科学和计算神经科学领域获得领导者的环境。
最后,该提案的目标3是建立旨在测试皮质当前理论的计算模型
发展。该提案的K00阶段将提供有关人工设计和实施的培训
神经网络(ANN)模型以及使用婴儿fMRI测试ANN模型的最佳方法培训
数据。 K00阶段的研究将为一位既定的研究者提供新的精通经验
计算神经科学将在一个具有繁荣的知识环境的机构中进行
访问MRI扫描仪和建立各种ANN模型所需的计算资源。
总而言之,拟议研究的目的是确定功能组织的原理是否在
成人大脑存在于婴儿中。该建议的见解将提高和完善皮质理论
开发并有可能适用于其他域名和语言。此外,
将我在清醒婴儿fMRI中的专业培训与我提议的计算博士后培训相结合
建模,拟议的研究将使我成为该领域的独立研究者和领导者
计算发育神经科学。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)
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Heather Lynne Kosakowski的其他文献
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