Where are you heading? Flexible integration of retinal and extra-retinal cues during self-motion perception

Where are you heading? Flexible integration of retinal and extra-retinal cues during self-motion perception
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DOI:
10.1002/pchj.165
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发表时间:
2017-06-01
期刊:
影响因子:
1.6
通讯作者:
Zhang, Tao
Zhang, Tao
中科院分区:
心理学3区
文献类型:
--
作者:
Kuang, Shenbing;Shi, Jinfu;Zhang, Tao

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当我们在环境中向前移动时,我们经历视网膜图像的径向扩展,其中中心对应于自我运动的瞬时方向。人类可以精确地感知他们的前进方向,即使当视网膜运动由于眼睛/身体旋转而引起的注视移位而失真时。先前的研究表明,视网膜和视网膜外策略都可以补偿视网膜图像失真。然而,每种战略的相对贡献仍不清楚。为了解决这个问题,我们设计了一个两个可选的标题辨别任务,其中参与者有真实的或模拟的追踪眼球运动。这两种情况具有相同的视网膜输入,但具有或不具有视网膜外眼球运动信号。因此,条件之间的行为差异用作视网膜外贡献的度量。我们系统地、独立地操纵了追踪速度、航向速度和视网膜信号的可靠性。我们发现,视网膜外贡献的水平随着追逐速度的增加(更强的视网膜外信号)和航向速度的降低(更弱的视网膜信号)而增加。此外,当我们用噪声破坏视网膜信号时,视网膜外的贡献也增加了。我们的研究结果表明,视网膜和视网膜外贡献的相对大小不是固定的,而是根据每个特定的任务条件灵活调整。这种依赖于任务的灵活集成似乎采取了基于可靠性的加权方案的形式,以最大限度地提高航向性能。
As we move forward in the environment, we experience a radial expansion of the retinal image, wherein the center corresponds to the instantaneous direction of self‐motion. Humans can precisely perceive their heading direction even when the retinal motion is distorted by gaze shifts due to eye/body rotations. Previous studies have suggested that both retinal and extra‐retinal strategies can compensate for the retinal image distortion. However, the relative contributions of each strategy remain unclear. To address this issue, we devised a two‐alternative‐headings discrimination task, in which participants had either real or simulated pursuit eye movements. The two conditions had the same retinal input but either with or without extra‐retinal eye movement signals. Thus, the behavioral difference between conditions served as a metric of extra‐retinal contribution. We systematically and independently manipulated pursuit speed, heading speed, and the reliability of retinal signals. We found that the levels of extra‐retinal contributions increased with increasing pursuit speed (stronger extra‐retinal signal), and with decreasing heading speed (weaker retinal signal). In addition, extra‐retinal contributions also increased as we corrupted retinal signals with noise. Our results revealed that the relative magnitude of retinal and extra‐retinal contributions was not fixed but rather flexibly adjusted to each specific task condition. This task‐dependent, flexible integration appears to take the form of a reliability‐based weighting scheme that maximizes heading performance.