Hasegawa Takayuki, Sakata Shogo
Faculty of Liberal Arts and Sciences, National Institute of Technology, Toyama College, Hongo Campus, 13 Hongo-machi, Toyama-shi, Toyama, 939-8630, Japan,
J Comput Neurosci. 2015 Apr;38(2):301-13. doi: 10.1007/s10827-014-0542-4. Epub 2014 Dec 25.
In this study, the authors developed a fundamental theory of interval timing behaviour, inspired by the learning-to-time (LeT) model and the scalar expectancy theory (SET) model, and based on quantitative analyses of such timing behaviour. Our experiments used the peak-interval procedure with rats. The proposed model of timing behaviour comprises clocks, a regulator, a mixer, a response, and memory. Using our model, we calculated the basic clock speeds indicated by the subjects' behaviour under such peak procedures. In this model, the scalar property can be defined as a kind of transposition, which can then be measured quantitatively. The Akaike information criterion (AIC) values indicated that the current model fit the data slightly better than did the SET model. Our model may therefore provide a useful addition to SET for the analysis of timing behaviour.
在本研究中，作者受学习计时（LeT）模型和标量期望理论（SET）模型的启发，并基于对这种计时行为的定量分析，提出了一种间隔计时行为的基础理论。我们的实验使用大鼠进行峰值间隔程序。所提出的计时行为模型包括时钟、调节器、混合器、反应和记忆。使用我们的模型，我们计算了在这种峰值程序下受试者行为所表明的基本时钟速度。在该模型中，标量属性可定义为一种转换，然后可以进行定量测量。赤池信息准则（AIC）值表明，当前模型对数据的拟合略优于SET模型。因此，我们的模型可能为SET在计时行为分析方面提供有用的补充。
