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A Bayesian Perspective on Accumulation in the Magnitude System

机译:贝叶斯在数量级系统中积累的观点

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摘要

Several theoretical and empirical work posit the existence of a common magnitude system in the brain. Such a proposal implies that manipulating stimuli in one magnitude dimension (e.g. duration in time) should interfere with the subjective estimation of another magnitude dimension (e.g. size in space). Here, we asked whether a generalized Bayesian magnitude estimation system would sample sensory evidence using a common, amodal prior. Two psychophysical experiments separately tested participants on their perception of duration, surface, and numerosity when the non-target magnitude dimensions and the rate of sensory evidence accumulation were manipulated. First, we found that duration estimation was resilient to changes in surface and numerosity, whereas lengthening (shortening) the duration yielded under- (over-) estimations of surface and numerosity. Second, the perception of surface and numerosity were affected by changes in the rate of sensory evidence accumulation, whereas duration was not. Our results suggest that a generalized magnitude system based on Bayesian computations would minimally necessitate multiple priors.
机译:若干理论和经验工作提出了大脑中存在一个共同的量级系统。这样的提议意味着在一个量纲维度(例如时间持续时间)上操纵刺激应该干扰对另一个量纲维度(例如空间的大小)的主观估计。在这里,我们问一个广义的贝叶斯幅度估计系统是否会使用一个常见的无模式先验来采样感官证据。当操纵非目标大小的尺寸和感官证据的积累速率时,两项心理物理实验分别测试了参与者对持续时间,表面和数字的知觉。首先,我们发现持续时间估算可对表面和数量的变化具有弹性,而延长(缩短)持续时间则可得出不足的(过度的)表面和数量的估算。其次,表面和数量的知觉受感官证据积累率变化的影响,而持续时间则不受影响。我们的结果表明,基于贝叶斯计算的广义量级系统将最少需要多个先验。

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