Balcı Fuat, Freestone David
Koç University, Department of Psychology, Istanbul, Turkey.
William Paterson University, Department of Psychology, NJ, United States.
Bio Protoc. 2020 Sep 5;10(17):e3735. doi: 10.21769/BioProtoc.3735.
Animals keep track of time intervals in the seconds to minutes range with, on average, high accuracy but substantial trial-to-trial variability. The ability to detect the statistical signatures of such timing behavior is an indispensable feature of a good and theoretically-tractable testing procedure. A widely used interval timing procedure is the peak interval (PI) procedure, where animals learn to anticipate rewards that become available after a fixed delay. After learning, they cluster their responses around that reward-availability time. The in-depth analysis of such timed anticipatory responses leads to the understanding of an internal timing mechanism, that is, the processing dynamics and systematic biases of the brain's clock. This protocol explains in detail how the PI procedure can be implemented in rodents, from training through testing to analysis. We showcase both trial-by-trial and trial-averaged analytical methods as a window into these internal processes. This protocol has the advantages of capturing timing behavior in its full-complexity in a fashion that allows for a theoretical treatment of the data.
动物能够追踪秒到分钟范围内的时间间隔,平均而言,其准确性较高,但每次试验之间存在显著差异。检测这种计时行为统计特征的能力是一个良好且理论上易于处理的测试程序不可或缺的特征。一种广泛使用的间隔计时程序是峰值间隔(PI)程序,在该程序中,动物学会预测在固定延迟后可获得的奖励。学习后,它们会在奖励可得时间附近集中做出反应。对这种定时预期反应的深入分析有助于理解内部计时机制,即大脑时钟的处理动态和系统偏差。本方案详细解释了如何在啮齿动物中实施PI程序,从训练到测试再到分析。我们展示了逐次试验和试验平均分析方法,作为了解这些内部过程的窗口。该方案的优点是以一种允许对数据进行理论处理的方式全面而复杂地捕捉计时行为。