Internal redundancy in simple response time tasks

许多简单的决策模型都基于两个主要的机制，决策阈值和感知信息的积累率。决策阈值受上下文信息，如指令，响应频率等的影响，而利率的影响，如对比度，信噪比等的物理特性的刺激，高度引用的模型包括拉特克利夫的扩散模型和布朗和希思科特的线性弹道累加器模型。近年来，这些模型已经纳入了一个额外的组成部分：在不同试验的决策阈值的变异性。添加此组件是为了解决快速错误，即，比预期更快的错误响应。

Many models of simple decision making are based on two major mechanisms, a decision threshold and a rate of accumulation for the perceived information. The decision thresholds are influenced by contextual information such as instructions, response frequencies, etc. whereas rates are influenced by the physical properties of the stimuli such as contrast, signal-to-noise ratio, etc. Highly-cited models include Ratcliff’s Diffusion model and Brown and Heathcote’s Linear Ballistic Accumulator model. In recent years, these models have incorporated an additional component: variability in the decision threshold across trials. This component was added to account for fast errors, i.e., erroneous responses that are faster than expected.