...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Neurophysiology >Causal inference for spatial constancy across whole body motion
【24h】

Causal inference for spatial constancy across whole body motion

机译：全身运动中空间恒定的因果推断

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The brain uses self-motion information to internally update egocentric representations of locations of remembered world-fixed visual objects. If a discrepancy is observed between this internal update and reafferent visual feedback, this could be either due to an inaccurate update or because the object has moved during the motion. To optimally infer the object's location it is therefore critical for the brain to estimate the probabilities of these two causal structures and accordingly integrate and/or segregate the internal and sensory estimates. To test this hypothesis, we designed a spatial updating task involving passive whole body translation. Participants. seated on a vestibular sled, had to remember the world-fixed position of a visual target. Immediately after the translation, the reafferent visual feedback was provided by flashing a second target around the estimated "updated" target location, and participants had to report the initial target location. We found that the participants' responses were systematically biased toward the position of the second target position for relatively small but not for large differences between the "updated" and the second target location. This pattern was better captured by a Bayesian causal inference model than by alternative models that would always either integrate or segregate the internally updated target location and the visual feedback. Our results suggest that the brain implicitly represents the posterior probability that the internally updated estimate and the visual feedback come from a common cause and uses this probability to weigh the two sources of information in mediating spatial constancy across whole body motion.
机译：大脑会利用自身的运动信息在内部更新想起世界固定视觉对象的位置自我中心表示。如果这个内部更新和reafferent视觉反馈之间观察到的差异，这可能是要么是由于不准确的更新或由于物体的运动过程中进行了移动。要以最佳方式推断出物体的位置，因此，至关重要的大脑估计这两个因果结构的概率和相应的集成和/或隔离内部和感官估计。为了检验这一假设，我们设计了包括被动全身翻译的空间更新任务。参与者。坐在前庭雪橇，必须记住一个视觉目标的全球定位。紧随翻译之后，reafferent视觉反馈是由闪烁的第二目标周围的估计的“更新”的目标定位提供，并且参与者必须报告初始目标位置。我们发现，参与者的反应是对相对较小的第二目标位的位置进行系统歪曲，但不是因为‘更新’，第二目标位置之间的巨大差异。这种模式更好地比替代车型，将始终无论是集成或分离的内部更新的目标定位和视觉反馈贝叶斯因果推理模型抓获。我们的研究结果表明，大脑实际上代表的后验概率更新内部估计和视觉反馈来自一个共同的原因，并使用这个概率来衡量两个信息源在调解跨整个身体的运动空间恒定。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号