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为什么大脑会预测眼球运动指令的感觉后果?预测与实际感觉反馈的最优整合。

Why does the brain predict sensory consequences of oculomotor commands? Optimal integration of the predicted and the actual sensory feedback.

作者信息

Vaziri Siavash, Diedrichsen Jörn, Shadmehr Reza

机构信息

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205, USA.

出版信息

J Neurosci. 2006 Apr 19;26(16):4188-97. doi: 10.1523/JNEUROSCI.4747-05.2006.

Abstract

When the brain initiates a saccade, it uses a copy of the oculomotor commands to predict the visual consequences: for example, if one fixates a reach target, a peripheral saccade will produce an internal estimate of the new retinal location of the target, a process called remapping. In natural settings, the target likely remains visible after the saccade. So why should the brain predict the sensory consequence of the saccade when after its completion, the image of the target remains visible? We hypothesized that in the post-saccadic period, the brain integrates target position information from two sources: one based on remapping and another based on the peripheral view of the target. The integration of information from these two sources could produce a less variable target estimate than is possible from either source alone. Here, we show that reaching toward targets that were initially foveated and remapped had significantly less variance than reaches relying on peripheral target information. Furthermore, in a more natural setting where both sources of information were available simultaneously, variance of the reaches was further reduced as predicted by integration. This integration occurred in a statistically optimal manner, as demonstrated by the change in integration weights when we manipulated the uncertainty of the post-saccadic target estimate by varying exposure time. Therefore, the brain predicts the sensory consequences of motor commands because it integrates its prediction with the actual sensory information to produce an estimate of sensory space that is better than possible from either source alone.

摘要

当大脑发起一次扫视时,它会利用眼球运动指令的副本预测视觉后果:例如,如果一个人注视一个伸手可及的目标,一次外周扫视会产生对目标新视网膜位置的内部估计,这个过程称为重新映射。在自然环境中,扫视后目标可能仍然可见。那么,既然扫视完成后目标图像仍然可见,大脑为什么还要预测扫视的感觉后果呢?我们推测,在扫视后阶段,大脑整合来自两个来源的目标位置信息:一个基于重新映射,另一个基于目标的外周视图。与单独从任何一个来源获取信息相比,整合这两个来源的信息可能会产生一个变化较小的目标估计。在这里,我们表明,朝着最初被中央凹注视并重新映射的目标伸手时,其变化显著小于依赖外周目标信息的伸手动作。此外,在更自然的环境中,当两个信息来源同时可用时,伸手动作的变化如整合预测的那样进一步降低。这种整合以统计上最优的方式发生,当我们通过改变曝光时间来操纵扫视后目标估计的不确定性时,整合权重的变化就证明了这一点。因此,大脑预测运动指令的感觉后果,是因为它将其预测与实际感觉信息整合起来,以产生一个比单独从任何一个来源获得的更好的感觉空间估计。

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