Human eye movements as a model of visual prediction
人眼运动作为视觉预测的模型
基本信息
- 批准号:RGPIN-2018-04987
- 负责人:
- 金额:$ 3.42万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Eye movements have an important function to stabilize gaze during self-motion, and to shift gaze to locations or objects of interest. Because of their close connection to visual perception, eye movements provide an excellent model system to answer fundamental questions about brain mechanisms underlying vision and movement. Most of our research relies on smooth pursuit eye movements—the eyes' key response to visual-object motion. In our previous NSERC-funded research, we have characterized and compared the visual signals that drive perception and pursuit, and discovered similarities and striking dissociations between perception and action.******Recently, we found that pursuit eye movements provide an important performance advantage during tasks that require prediction. Many real-world movements, such as intercepting prey or hitting a ball, involve prediction of an object's trajectory from a brief glance at its motion. The decision whether, when and where to intercept is based on the integration of current sensory object information, like a baseball's spin or speed, with past sensory experience, like the probability of a curveball. The efficacy and timescale of the mechanisms underlying the integration of current and past sensory signals are poorly understood.******We will develop novel experimental paradigms and rely on a combination of technological approaches including human visual psychophysics, eye tracking, hand tracking, and computational modeling to investigate these integration mechanisms. We will manipulate sensory experience at different levels of processing—from low-level expectations about the occurrence of a particular object motion to high-level rules and heuristics.******Establishing the temporal dynamics of integrating and accumulating information during visual prediction will significantly contribute to our understanding of visual and motor control. Moreover, our experimental paradigms have high ecological validity for many natural tasks such as ball sports, and can be translated into portable applications for skill testing and training. The diverse combination of techniques and our multi-disciplinary and collaborative research approach will provide trainees with an ideal research environment.
在自我运动过程中,眼球运动具有稳定凝视和将目光转移到感兴趣的位置或物体上的重要功能。由于眼球运动与视觉感知的密切联系,它提供了一个很好的模型系统来回答关于视觉和运动背后的大脑机制的基本问题。我们的大部分研究都依赖于眼球的平滑追踪运动——这是眼睛对视觉物体运动的关键反应。在我们之前nserc资助的研究中,我们描述并比较了驱动感知和追求的视觉信号,发现了感知和行动之间的相似之处和惊人的分离。******最近,我们发现追求眼动在需要预测的任务中提供了一个重要的性能优势。许多现实世界的运动,如拦截猎物或击球,都需要通过对物体运动的短暂一瞥来预测其轨迹。是否、何时、何地拦截的决定是基于当前的感官对象信息(如棒球的旋转或速度)与过去的感官经验(如弧线球的概率)的整合。当前和过去感觉信号整合机制的有效性和时间尺度尚不清楚。******我们将开发新的实验范式,并依靠包括人类视觉心理物理学、眼动追踪、手部追踪和计算建模在内的技术方法的组合来研究这些整合机制。我们将在不同的加工层次上操纵感官体验——从对特定物体运动发生的低级期望到高级规则和启发式。******建立在视觉预测过程中整合和积累信息的时间动态将大大有助于我们对视觉和运动控制的理解。此外,我们的实验范式对许多自然任务(如球类运动)具有很高的生态效度,并且可以转化为技能测试和训练的便携式应用程序。多样化的技术组合和我们的多学科合作研究方法将为学员提供理想的研究环境。
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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Spering, Miriam其他文献
Eye movement training is most effective when it involves a task-relevant sensorimotor decision
- DOI:
10.1167/18.4.18 - 发表时间:
2018-04-01 - 期刊:
- 影响因子:1.8
- 作者:
Fooken, Jolande;Lalonde, Kathryn M.;Spering, Miriam - 通讯作者:
Spering, Miriam
Distractor interference during smooth pursuit eye movements
- DOI:
10.1037/0096-1523.32.5.1136 - 发表时间:
2006-10-01 - 期刊:
- 影响因子:2.1
- 作者:
Spering, Miriam;Gegenfurtner, Karl R.;Kerzel, Dirk - 通讯作者:
Kerzel, Dirk
Preservation of Eye Movements in Parkinson's Disease Is Stimulus- and Task-Specific
- DOI:
10.1523/jneurosci.1690-21.2021 - 发表时间:
2022-01-19 - 期刊:
- 影响因子:5.3
- 作者:
Fooken, Jolande;Patel, Pooja;Spering, Miriam - 通讯作者:
Spering, Miriam
Context effects on smooth pursuit and manual interception of a disappearing target
- DOI:
10.1152/jn.00217.2017 - 发表时间:
2017-07-01 - 期刊:
- 影响因子:2.5
- 作者:
Kreyenmeier, Philipp;Fooken, Jolande;Spering, Miriam - 通讯作者:
Spering, Miriam
Do eye movements enhance visual memory retrieval?
- DOI:
10.1016/j.visres.2020.07.013 - 发表时间:
2020-11-01 - 期刊:
- 影响因子:1.8
- 作者:
Kinjo, Hikari;Fooken, Jolande;Spering, Miriam - 通讯作者:
Spering, Miriam
Spering, Miriam的其他文献
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{{ truncateString('Spering, Miriam', 18)}}的其他基金
Human eye movements as a model of visual prediction
人眼运动作为视觉预测的模型
- 批准号:
RGPIN-2018-04987 - 财政年份:2022
- 资助金额:
$ 3.42万 - 项目类别:
Discovery Grants Program - Individual
Human eye movements as a model of visual prediction
人眼运动作为视觉预测的模型
- 批准号:
RGPIN-2018-04987 - 财政年份:2021
- 资助金额:
$ 3.42万 - 项目类别:
Discovery Grants Program - Individual
Human eye movements as a model of visual prediction
人眼运动作为视觉预测的模型
- 批准号:
RGPIN-2018-04987 - 财政年份:2020
- 资助金额:
$ 3.42万 - 项目类别:
Discovery Grants Program - Individual
Human eye movements as a model of visual prediction
人眼运动作为视觉预测的模型
- 批准号:
522458-2018 - 财政年份:2019
- 资助金额:
$ 3.42万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Human eye movements as a model of visual prediction
人眼运动作为视觉预测的模型
- 批准号:
RGPIN-2018-04987 - 财政年份:2019
- 资助金额:
$ 3.42万 - 项目类别:
Discovery Grants Program - Individual
Human eye movements as a model of visual prediction
人眼运动作为视觉预测的模型
- 批准号:
522458-2018 - 财政年份:2018
- 资助金额:
$ 3.42万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Visual motion processing for perception and smooth pursuit eye movements
用于感知和平滑追踪眼球运动的视觉运动处理
- 批准号:
418493-2012 - 财政年份:2017
- 资助金额:
$ 3.42万 - 项目类别:
Discovery Grants Program - Individual
Visual motion processing for perception and smooth pursuit eye movements
用于感知和平滑追踪眼球运动的视觉运动处理
- 批准号:
418493-2012 - 财政年份:2016
- 资助金额:
$ 3.42万 - 项目类别:
Discovery Grants Program - Individual
Visual motion processing for perception and smooth pursuit eye movements
用于感知和平滑追踪眼球运动的视觉运动处理
- 批准号:
418493-2012 - 财政年份:2015
- 资助金额:
$ 3.42万 - 项目类别:
Discovery Grants Program - Individual
Visual motion processing for perception and smooth pursuit eye movements
用于感知和平滑追踪眼球运动的视觉运动处理
- 批准号:
418493-2012 - 财政年份:2014
- 资助金额:
$ 3.42万 - 项目类别:
Discovery Grants Program - Individual
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Human eye movements as a model of visual prediction
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Human eye movements as a model of visual prediction
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