Visual Computations for Motor Control
电机控制的视觉计算
基本信息
- 批准号:7433850
- 负责人:
- 金额:$ 36.24万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2001
- 资助国家:美国
- 起止时间:2001-01-01 至 2010-06-30
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAddressAffectBehaviorBrainComputer SimulationCoupledCuesDataDepthDimensionsFeedbackFingersFundingGenerationsGoalsHandHumanImageMapsMeasuresMethodsModelingMotionMotorMovementNail plateNaturePerformancePhasePlacementPositioning AttributePrincipal InvestigatorProcessPropertyRelative (related person)ReportingResearchRobotRotationSaccadesSignal TransductionSolutionsSpeedStandards of Weights and MeasuresStructureSurfaceSystemTechniquesTestingTextureTimeUncertaintyUpper armVisionVision DisparityVisualWeightWorkcomputer studiesdesign and constructiongazegrasphapticsmonocularmotor controlprogramsresearch studytime usevirtualvisual feedbackvisual informationvisual motorvisual processvisual processingvisual stimulus
项目摘要
DESCRIPTION (provided by applicant): The goal of the proposed research is to understand how 3-dimensional (3D) visual information, both about target objects and about the moving hand, is used to plan and control goal-directed hand movements. The research focuses on what depth cues the visuomotor system uses for planning and online control and how it integrates those cues. Several theoretical considerations inform the work. First, different motor behaviors admit different solutions to the problem of mapping visual information to motor behavior. We therefore address the question of whether the brain uses a common visual representation of objects or relies on different task-specific strategies for planning and controlling different types of hand movements such as hand transport and hand rotation (e.g. during grasping movements). We will measure how subjects weight binocular disparity and texture/figural cues about object layout in a scene for controlling both components of hand movements. As a probe into the modularity of visuomotor computations, we will use haptic feedback to adapt subjects' cue weights in one task and measure transfer of adaptation effects between tasks. Second, the relative contribution of different cues to motor control depends on both the reliability of the information provided by the cues and the time course with which the brain processes them. We will study how changes in cue reliability affect how the brain uses the information provided by depth cues for both planning and online control. We will also measure the time course of processing binocular disparity and texture/figural cues as they contribute to motor control using a perturbation technique developed in the previous funding period. In order to derive a deeper understanding of how cue uncertainty and timing constraints interact to determine human visuomotor performance, we will supplement the experimental studies with computational work applying methods from optimal filtering (optimal statistical estimation over time) and control.
描述(由申请人提供):拟议研究的目标是了解如何使用关于目标对象和移动手部的三维(3D)视觉信息来计划和控制目标导向的手部运动。这项研究的重点是视觉系统使用什么样的深度线索来进行计划和在线控制,以及它如何整合这些线索。几个理论上的考虑通知工作。首先,不同的运动行为承认视觉信息映射到运动行为的问题有不同的解决方案。因此,我们解决的问题,大脑是否使用一个共同的视觉表示的对象或依赖于不同的任务特定的策略,规划和控制不同类型的手的运动,如手运输和手旋转(例如,在抓取运动)。我们将测量受试者如何在场景中控制手部运动的两个组成部分,对物体布局的双眼视差和纹理/图形线索进行加权。作为对视觉计算模块化的探索,我们将使用触觉反馈来调整被试在一个任务中的提示权重,并测量任务之间的适应效果转移。其次,不同线索对运动控制的相对贡献取决于线索提供的信息的可靠性和大脑处理它们的时间过程。我们将研究线索可靠性的变化如何影响大脑如何使用深度线索提供的信息进行规划和在线控制。我们还将测量处理双眼视差和纹理/图形线索的时间过程,因为它们有助于使用在上一个资助期开发的扰动技术进行运动控制。为了更深入地了解线索的不确定性和时间约束如何相互作用,以确定人类的视觉表现,我们将补充实验研究与计算工作应用方法从最佳过滤(最佳统计估计随着时间的推移)和控制。
项目成果
期刊论文数量(0)
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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DAVID C KNILL其他文献
DAVID C KNILL的其他文献
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{{ truncateString('DAVID C KNILL', 18)}}的其他基金
Kinesthetic influences on visual motion perception in normal and older adults
动觉对正常人和老年人视觉运动知觉的影响
- 批准号:
8576067 - 财政年份:2013
- 资助金额:
$ 36.24万 - 项目类别:
CVS Symposium: Computational foundations of perception and action
CVS 研讨会:感知和行动的计算基础
- 批准号:
8311491 - 财政年份:2012
- 资助金额:
$ 36.24万 - 项目类别:
Bayesian computations in human 3D visual perception
人类 3D 视觉感知中的贝叶斯计算
- 批准号:
7663053 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
Bayesian computations in human 3D visual perception
人类 3D 视觉感知中的贝叶斯计算
- 批准号:
7319279 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
Bayesian computations in human 3D visual perception
人类 3D 视觉感知中的贝叶斯计算
- 批准号:
7915448 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
Bayesian computations in human 3D visual perception
人类 3D 视觉感知中的贝叶斯计算
- 批准号:
8123262 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
Bayesian computations in human 3D visual perception
人类 3D 视觉感知中的贝叶斯计算
- 批准号:
7472422 - 财政年份:2007
- 资助金额:
$ 36.24万 - 项目类别:
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