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对视觉运动方向变化的简单反应时间。

The simple reaction time to changes in direction of visual motion.

作者信息

Mateeff S, Genova B, Hohnsbein J

机构信息

Institute of Physiology, Sofia, Bulgaria.

出版信息

Exp Brain Res. 1999 Feb;124(3):391-4. doi: 10.1007/s002210050636.

Abstract

Recently Dzhafarov et al. presented a model explaining data on simple reaction time (RT) to unidimensional velocity changes. The authors suggested that having a motion with an initial velocity V0, the velocity change detection system is reinitialized by means of a "subtractive normalization" process. Therefore, any abrupt change from V0 to V1 is detected as if it were the onset of motion with a speed equal to /V1-V0/. They derived that the RT is a function of /V1-V0/(-2/3). We tested this model for the case of two-dimensional velocity changes. Our subjects observed a random dot pattern that moved horizontally, then changed the direction of motion by an angle alpha in the range between 6 degrees and 180 degrees without changing the speed V. Speeds of 4 and 12 deg/s were used. The subjects reacted as quickly as possible to the direction change. The RTs asymptotically decreased with increasing alpha; with 12 deg/s speed the RTs were shorter than those obtained with 4 deg/s. It was shown that the data can be well described as a function of /V1-V0/(-2/3)=(2Vsin(alpha/2))(-2/3). An extension of the "subtractive normalization" hypothesis for the case of two-dimensional velocity changes is proposed. It is based on the assumption that the velocity vector V1 after the change is decomposed into two orthogonal components. Alternative explanations based on the use of position or orientation cues are shown to contradict the data.

摘要

最近,贾法罗夫等人提出了一个模型,用于解释一维速度变化的简单反应时(RT)数据。作者认为,在初始速度为V0的运动中,速度变化检测系统通过“减法归一化”过程重新初始化。因此,从V0到V1的任何突然变化都被检测为速度等于/V1 - V0/的运动起始。他们推导得出RT是/V1 - V0/(-2/3)的函数。我们针对二维速度变化的情况测试了这个模型。我们的受试者观察一个水平移动的随机点图案,然后在不改变速度V的情况下,将运动方向改变一个介于6度和180度之间的角度α。使用了4和12度/秒的速度。受试者对方向变化尽快做出反应。RT随着α的增加而渐近减少;速度为12度/秒时的RT比速度为4度/秒时短。结果表明,数据可以很好地描述为/V1 - V0/(-2/3)=(2Vsin(α/2))(-2/3)的函数。针对二维速度变化的情况,提出了“减法归一化”假设的扩展。它基于这样的假设,即变化后的速度向量V1被分解为两个正交分量。基于位置或方向线索使用的替代解释与数据相矛盾。

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