Kinesthetic influences on visual motion perception in normal and older adults
Kinesthetic influences on visual motion perception in normal and older adults
批准号:
8576067
负责人:
DAVID C KNILL
金额:
$22.49万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-15 至 2015-06-30
关键词:
AddressAffectAgeAgingAreaArticular Range of MotionBehaviorBehavioralBrainClinicalConflict (Psychology)CoupledCouplingDecision MakingDetectionElderlyEndogenous FactorsEventExhibitsFutureHandImpairmentIndividualInterventionKinesthesisKnowledgeLeadMeasuresModalityModelingMotionMotion PerceptionMotorMovementNatureNoiseOutcomePerformanceProcessProprioceptionReportingResearchRoleSensoryShapesSignal TransductionTestingTrainingUncertaintyVisionVisualVisual MotionWeightage relatedbaseclinically significantcomputerized data processingdiscountimprovedimproved functioningmultisensoryobject motionpublic health relevanceresearch studysegregationtoolvisual processvisual processing
中文摘要
描述(由申请人提供):大脑如何将自我产生的运动的动觉信息与这些运动引起的其他感觉信号整合在一起,在很大程度上是未知的。虽然关于大脑如何整合由世界上的物体和事件产生的多种感觉信号的研究越来越多,但关于大脑如何整合动觉和视觉运动信号的研究却少得多。动觉和视觉之间的相互作用是如何随着年龄的增长而变化的,我们知道的就更少了。目前的建议解决了我们理解中的这些空白,特别是旨在阐明由手部运动产生的动觉信号如何影响视觉运动处理以及这些相互作用如何随年龄变化-由于已知的与年龄相关的视觉运动处理缺陷,这是一个具有临床意义的问题。第一个目标集中在多感觉整合的一个经常被忽视的方面——大脑如何决定是否或多强烈地耦合来自不同模式的信号(目前大多数研究集中在大脑如何在不同信号完美耦合时权衡它们)。我们将测量受试者如何适应其多模态耦合以适应信号可靠性的变化,并将受试者的表现与最优贝叶斯模型的表现进行比较,该模型是由个体受试者的感官不确定性估计参数化的。通过允许我们忽略单峰信号不确定性变化对老年受试者行为的影响,这些模型为测试衰老导致多模态整合机制本身变化的假设提供了一个工具。第二个目标是研究大脑是否以及如何使用动觉信号来支持和增强早期视觉处理,以及这种情况如何随着年龄的增长而变化。在一组实验中,我们将测试与动觉相关的预测信号增强一致视觉运动信号的可检测性的假设,并测量这种增强对信号之间冲突的调整。另一组实验将测试交互假设的一个强有力的版本——动觉可以仅仅足以产生视觉运动感知。在这里,我们将扩展我们在初步研究中发现的一种现象-许多受试者报告看到视觉运动嵌入在白噪声场中,与他们移动的手光学搭配。为了量化生成的运动感知的强度,我们将通过实验确定在感知上与报告的幻影运动相匹配的真实视觉运动。我们将进一步探讨这种视觉处理的动觉增强,以确定动觉和视觉运动处理之间的潜在相互作用是乘法还是加法。最后一组实验将检验大脑使用的假设
英文摘要
DESCRIPTION (provided by applicant): How the brain integrates kinesthetic information about self-generated movements with other sensory signals caused by those movements is largely unknown. While there is a substantial and growing body of research on how the brain integrates multiple sensory signals generated by objects and events in the world, much less is known about how the brain integrates kinesthetic and visual motion signals. Even less is known about how the interactions between kinesthesis and vision change with age. The current proposal addresses these gaps in our understanding, specifically aiming to elucidate how kinesthetic signals generated by one's hand motion influence visual motion processing and how those interactions change with age - a question of clinical significance because of the known age-related deficits in visual motion processing. The first aim focuses on an aspect of multisensory integration that is often overlooked - how the brain determines whether or not, or how strongly, to couple signals from different modalities (most current research focuses on how the brain weights different signals when they are perfectly coupled). We will measure how subjects adapt their inter-modal coupling to changes in signal reliability and compare subjects' performance to that of optimal Bayesian models that are parameterized by estimates of individual subjects' sensory uncertainty. The models provide a tool for testing the hypothesis that aging leads to changes in multimodal integration mechanisms themselves, by allowing us to discount the effects of changes in unimodal signal uncertainty on older subjects' behavior. The second aim will study whether and how the brain uses kinesthetic signals to support and enhance early visual processing and how this changes with age. In one set of experiments, we will test the hypothesis that predictive signals associated with kinesthesis enhance the detectability of congruent visual motion signals and measure the tuning of this enhancement to conflicts between the signals. Another set of experiments will test a strong version of the interaction hypothesis - that kinesthesis can be solely sufficient to generate visual motion percepts. Here, we will expand on a phenomenon discovered in our preliminary studies - that many subjects report seeing visual motion embedded in a white noise field optically collocated with their moving hand. To quantify the strength of generated motion percepts, we will experimentally determine the real visual motions that perceptually match reported phantom motions. We will further explore this kinesthetic enhancement of visual processing to determine whether the underlying interactions between kinesthesis and visual motion processing are multiplicative or additive. A final set of experiments will test the hypothesis that the brain uses
kinesthetic signals to aid in motion segmentation by both enhancing the motion signal from a moving target when the hand moves the target and by suppressing the background when the hand moves it. We will measure age-related changes for each of these three forms of interaction between kinesthesis and vision; matching signal uncertainty for young and older subjects to isolate changes that are result from age-related changes in multisensory integration mechanisms.
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科研奖励(0)
会议论文
CVS Symposium: Computational foundations of perception and action
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批准号:8311491
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项目类别:
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资助金额:$3.63万
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财政年份:2012
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负责人:DAVID C KNILL
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依托单位:
Bayesian computations in human 3D visual perception
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批准号:7663053
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项目类别:
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资助金额:$30.8万
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财政年份:2007
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负责人:DAVID C KNILL
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依托单位:
Bayesian computations in human 3D visual perception
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批准号:7319279
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项目类别:
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资助金额:$35.53万
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财政年份:2007
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负责人:DAVID C KNILL
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依托单位:
Bayesian computations in human 3D visual perception
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批准号:7915448
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项目类别:
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资助金额:$30.49万
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财政年份:2007
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负责人:DAVID C KNILL
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依托单位:
Bayesian computations in human 3D visual perception
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批准号:8123262
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项目类别:
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资助金额:$29.57万
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财政年份:2007
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负责人:DAVID C KNILL
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依托单位:
Bayesian computations in human 3D visual perception
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批准号:7472422
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项目类别:
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资助金额:$33.0万
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财政年份:2007
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负责人:DAVID C KNILL
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依托单位:
Visual Computations for Motor Control
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批准号:7081409
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项目类别:
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资助金额:$35.29万
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财政年份:2001
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负责人:DAVID C KNILL
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Visual Computations for Motor Control
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资助金额:$36.03万
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财政年份:2001
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负责人:DAVID C KNILL
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依托单位:
VISUAL COMPUTATIONS FOR MOTOR CONTROL
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批准号:6259411
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项目类别:
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资助金额:$28.56万
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财政年份:2001
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负责人:DAVID C KNILL
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依托单位:
Visual Computations for Motor Control
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批准号:7433850
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项目类别:
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资助金额:$36.24万
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财政年份:2001
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负责人:DAVID C KNILL
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Visual Computations for Motor Control
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资助金额:$36.98万
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财政年份:2001
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负责人:DAVID C KNILL
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依托单位:
VISUAL COMPUTATIONS FOR MOTOR CONTROL
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批准号:6490008
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项目类别:
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资助金额:$27.31万
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财政年份:2001
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负责人:DAVID C KNILL
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依托单位:
VISUAL COMPUTATIONS FOR MOTOR CONTROL
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批准号:6627150
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项目类别:
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资助金额:$27.31万
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财政年份:2001
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负责人:DAVID C KNILL
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Visual Computations for Motor Control
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负责人:DAVID C KNILL
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PERCEPTUAL CONSTRAINTS FOR IMAGE UNDERSTANDING IN HUMANS
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批准号:3266799
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项目类别:
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资助金额:$10.15万
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财政年份:1992
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负责人:DAVID C KNILL
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依托单位:
PERCEPTUAL CONSTRAINTS FOR IMAGE UNDERSTANDING IN HUMANS
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财政年份:1992
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负责人:DAVID C KNILL
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PERCEPTUAL CONSTRAINTS FOR IMAGE UNDERSTANDING
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资助金额:$8.24万
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财政年份:1992
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负责人:DAVID C KNILL
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依托单位:
PERCEPTUAL CONSTRAINTS FOR IMAGE UNDERSTANDING IN HUMANS
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资助金额:$13.57万
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负责人:DAVID C KNILL
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PERCEPTUAL CONSTRAINTS FOR IMAGE UNDERSTANDING IN HUMANS
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财政年份:1992
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负责人:DAVID C KNILL
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PERCEPTUAL CONSTRAINTS FOR IMAGE UNDERSTANDING IN HUMANS
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资助金额:$7.89万
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海外基金