Martin Benoît, Wiener Martin, van Wassenhove Virginie
CEA, DRF/I2BM, NeuroSpin, INSERM, U992, Cognitive Neuroimaging Unit, Université Paris-Sud, Université Paris-Saclay, F-Gif/Yvette, France.
Department of Psychology, George Mason University, Fairfax, VA, USA.
Sci Rep. 2017 Apr 4;7(1):630. doi: 10.1038/s41598-017-00680-0.
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.
一些理论和实证研究假定大脑中存在一个通用的量级系统。这样的提议意味着在一个量级维度上操纵刺激（例如时间持续时间）应该会干扰另一个量级维度（例如空间大小）的主观估计。在这里，我们探讨了一个广义贝叶斯量级估计系统是否会使用一个通用的、非模态先验来对感官证据进行采样。当非目标量级维度和感官证据积累速率被操纵时，两个心理物理学实验分别测试了参与者对持续时间、表面和数量的感知。首先，我们发现持续时间估计对表面和数量的变化具有弹性，而延长（缩短）持续时间会导致对表面和数量的低估（高估）。其次，表面和数量的感知受到感官证据积累速率变化的影响，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至少需要多个先验。
