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Assessment of parallel movement plans by probing spatial attention

Assessment of parallel movement plans by probing spatial attention
通过探测空间注意力评估平行运动计划
批准号:
417940167
负责人:
Professor Dr. Tobias Heed
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2019
资助国家:
德国
项目状态:
已结题
起止时间:
2018-12-31 至 2023-12-31

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英文摘要
Our environment constantly presents us with multiple opportunities and demands for action. At any given moment, we must select one of all possible actions, and specify the corresponding movement metrics. Evidence suggests that the brain simultaneously prepares multiple actions in parallel, and action selection results from continuous competition embedded in bottom-up driven sensorimotor processing that is biased by top-down decision-relevant information.However, there is ongoing debate about which aspects of actions are actually represented in parallel. Reaching trajectories of human participants usually reflect an average between the direct trajectories to several currently relevant targets; this aspect of motor behavior has been interpreted as indicating that the executed movement results from averaging of individual movement plans. This interpretation, thus, assumes that all aspects of the different actions are represented in parallel. However, averaging behavior appears to sometimes depend on strategic considerations. For instance, trajectory averaging is abandoned when targets are far apart, or when movements have to executed be very fast; this strategic behavior change improves participants’ overall performance. The use of such strategies has been taken to indicate that movement trajectories are not, by default, averaged. Instead, only a single detailed movement plan would be computed, and this single plan could be derived as an average when this is strategically advantageous. Thus, this theoretical stance assumes parallel representation of final movement goals, but not of movement plans that specify aspects such as the movement’s trajectory.The central challenge to solving this debate is to find convincing measures that indicate whether several movement plans (as opposed to just goals) are currently active. We propose here a series of experiments that address this challenge. To this end, we employ the well-established relationship between movement goals and attentional deployment. Attention is shifted towards one or several sequential motor goals already prior to movement initiation, expressed in enhanced perceptual discrimination performance at target as compared to irrelevant locations. We extend this experimental approach to probing the parallel representation of multiple motor goals for hand reaches. Critically, we probe the attentional deployment to trajectory-defining locations, such as regions near obstacles, along potentially relevant movement trajectories. As a second approach, we induce multiple potentially relevant trajectories through a motor adaptation paradigm. Finally, we address top-down aspects to motor plan selection to elucidate how such aspects affect the averaging of bottom-up sensory information. Together, the proposed experiments will provide substantive and cogent evidence about which levels of movement planning underlie parallel representation.
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Dynamic coding of tactile-to-motor transformation in human and macaque posterior parietal cortex
  • 批准号:
    406565145
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2018
  • 负责人:
    Professor Dr. Tobias Heed
  • 依托单位:
Sensorimotor processing and reference frame transformations in the human brain
  • 批准号:
    220202108
  • 项目类别:
    Independent Junior Research Groups
  • 资助金额:
    $0.0万
  • 财政年份:
    2012
  • 负责人:
    Professor Dr. Tobias Heed
  • 依托单位:
国内基金
海外基金
强流低能加速器束流损失机理的Parallel PIC/MCC算法与实现