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A ballistic model of choice response time

机译:选择响应时间的弹道模型

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摘要

Almost all models of response time (RT) use a stochastic accumulation process. To account for the benchmark RT phenomena, researchers have found it necessary to include between-trial variability in the starting point and/or the rate of accumulation, both in linear (R. Ratcliff & J. N. Rouder, 1998) and nonlinear (M. Usher & J. L. McClelland, 2001) models. The authors show that a ballistic (deterministic within-trial) model using a simplified version of M. Usher and J. L. McClelland's (2001) nonlinear accumulation process with between-trial variability in accumulation rate and starting point is capable of accounting for the benchmark behavioral phenomena. The authors successfully fit their model to R. Ratcliff and J. N. Rouder's (1998) data, which exhibit many of the benchmark phenomena.
机译:几乎所有的响应时间(RT)模型都使用随机累积过程。为了说明基准RT现象,研究人员发现有必要在线性和线性(R. Ratcliff&JN Rouder,1998)和非线性(M. Usher)的起点和/或累积速率中包括试验间的可变性。 &JL McClelland,2001)模型。作者表明,使用M. Usher和JL McClelland(2001)的非线性累积过程的简化版本的弹道(确定性试验内)模型具有累积速率和起始点之间的可变性,能够解释基准行为现象。 。作者成功地将他们的模型拟合到R. Ratcliff和J. N. Rouder(1998)的数据中,这些数据表现出许多基准现象。

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