Hartcher-O'Brien Jess, Brighouse Carolyn, Levitan Carmel A
Sorbonne Universités, UPMC Univ Paris, 06, UMR 7222, ISIR, F-75005, Paris, France.
Department of Philosophy, Occidental College, 1600 Campus Road, Los Angeles, CA 90041, USA.
Curr Opin Behav Sci. 2016 Apr;8:268-275. doi: 10.1016/j.cobeha.2016.02.026.
Time is an essential dimension of our environment that allows us to extract meaningful information about speed of movement, speech, motor actions and fine motor control. Traditionally, models of time have tried to quantify how the brain might process the duration of an event. The most commonly cited are the pacemaker-accumulator model and the beat frequency model of interval timing, which explain how duration is perceived, represented and encoded. Here we posit such models as providing a powerful tool for simultaneously extracting, representing and encoding stimulus rate information. That is, any model that can process duration has all the information needed to code stimulus rate. We explore different processing strategies which would enable rate to be read off from both the pacemaker-accumulator and beat frequency model of interval timing. Finally we explore open questions that, when answered, will shed light upon potential mechanisms for duration and rate estimation.
时间是我们所处环境的一个基本维度,它使我们能够提取有关运动速度、言语、动作和精细运动控制的有意义信息。传统上,时间模型试图量化大脑处理事件持续时间的方式。最常被引用的是起搏器-累加器模型和间隔计时的拍频模型,它们解释了持续时间是如何被感知、表征和编码的。在此,我们认为这些模型是同时提取、表征和编码刺激速率信息的有力工具。也就是说,任何能够处理持续时间的模型都拥有编码刺激速率所需的所有信息。我们探索了不同处理策略,这些策略将使速率能够从间隔计时的起搏器-累加器模型和拍频模型中读取出来。最后,我们探讨了一些开放性问题,一旦得到解答,将有助于揭示持续时间和速率估计的潜在机制。