Testing hypotheses of context-dependent, distributed, and non-hierarchical neural representation using hypermodal MRI

使用超模态 MRI 测试上下文相关、分布式和非分层神经表征的假设

• 批准号: 2548390
• 金额: --
• 依托单位: Birkbeck, University of London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2548390
• 关键词: Testing; hypotheses; context; dependent; distributed

The project aims to evaluate specific computational models of context-dependent auditoryand visual representation, attention, and integration using a new 'hypermodal' MRI dataset.The MOVIE II project uses high temporal and spatial resolution functional MRI tocomprehensively map out participants' blood-oxygen-level-dependent responses to a fulllength movie, as well as more controlled visual, auditory, and somatosensory mappingstimuli, brain-region-specific hemodynamic responses, high-resolution maps ofmacromolecular, water, and iron content, and time-locked recordings of participants'eyegaze, and physiology.The PhD student will evaluate the explanatory power of models that take into accounttemporal buildup of sensory information within and across modalities, as well as moreabstract characterizations, such as event flow and the establishment of musical motifs orphrasal tension. In Year 2 of the PhD, under the supervision of Skipper and Dick, the studentwill build explanatory computational models for fMRI activity that build in an increasingdegree of contextual modulation on acoustic and visual features, and test these infunctionally and myeloarchitectonically defined brain regions that are at different tiers inputative cortical hierarchies. In Year 3-4, supervised by Tierney, Skipper, and Dick, thestudent will also conduct a 'spin-off' EEG study, where participants will again view the samemovie used in the MOVIE II database.This new dataset will be used to generate temporalresponse functions to a subset of the features used for fMRI analyses; these will in turngenerate more temporally detailed estimates of neural responses that will be used to furthercondition the initial fMRI models of the MOVIE II data. The student will also design and runsmall-N fMRI studies that vary the linguistic or acoustic content of the movie presented totest hypotheses about the modulation of perceptual processing by more abstract cognitiveconstructs.

该项目旨在使用一个新的“超模态”MRI数据集来评估特定的计算模型，这些模型包括上下文相关的记忆和视觉表征、注意力和整合。MOVIE II项目使用高时空分辨率的功能性MRI来全面绘制参与者对全长电影的血氧水平依赖性反应，以及更多受控的视觉、听觉和体感映射刺激，大脑区域特定的血液动力学反应，高分辨率的大分子，水和铁含量图，以及参与者的凝视和生理学的时间锁定记录。博士生将评估模型的解释力，该模型考虑到感官信息在模态内和跨模态的时间积累，以及更抽象的表征，如事件流和音乐主题的建立orphrasal张力。在博士学位的第二年，在Skipper和Dick的监督下，学生们建立了功能磁共振成像活动的解释性计算模型，该模型建立了对听觉和视觉特征的上下文调制程度的增加，并测试了这些在功能和脊髓结构上定义的大脑区域，这些区域处于不同的输入皮层层次。在3-4年级，在Tierney、Skipper和Dick的指导下，学生还将进行一项“衍生”EEG研究，参与者将再次观看电影II数据库中使用的同一部电影。这个新的数据集将用于生成用于fMRI分析的特征子集的时间响应函数;这些将反过来产生更多的时间上详细的神经反应的估计，这些估计将用于进一步调节电影II数据的初始fMRI模型。学生还将设计和运行小N功能磁共振成像研究，改变电影的语言或声学内容，以测试关于更抽象的认知结构对感知处理的调制的假设。