反应强度主要成分的分子分析。
Molecular analyses of the principal components of response strength.
作者信息
Killeen Peter R, Hall Scott S, Reilly Mark P, Kettle Lauren C
机构信息
Department of Psychology, Arizona State University, Tempe 85287-1104, USA.
出版信息
J Exp Anal Behav. 2002 Sep;78(2):127-60. doi: 10.1901/jeab.2002.78-127.
Killeen and Hall (2001) showed that a common factor called strength underlies the key dependent variables of response probability, latency, and rate, and that overall response rate is a good predictor of strength. In a search for the mechanisms that underlie those correlations, this article shows that (a) the probability of responding on a trial is a two-state Markov process; (b) latency and rate of responding can be described in terms of the probability and period of stochastic machines called clocked Bernoulli modules, and (c) one such machine, the refractory Poisson process, provides a functional relation between the probability of observing a response during any epoch and the rate of responding. This relation is one of proportionality at low rates and curvilinearity at higher rates.
基林和霍尔（2001年）指出，一个名为强度的共同因素是反应概率、潜伏期和速率等关键因变量的基础，并且总体反应速率是强度的良好预测指标。在探寻这些相关性背后的机制时，本文表明：（a）一次试验中做出反应的概率是一个二态马尔可夫过程；（b）反应潜伏期和速率可以根据被称为定时伯努利模块的随机机器的概率和周期来描述；（c）其中一种这样的机器，即不应期泊松过程，在任何时间段内观察到反应的概率与反应速率之间提供了一种函数关系。这种关系在低速率时是比例关系，在高速率时是曲线关系。
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