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The effect of predictive history on the learning of sub-sequence contingencies

机译:预测历史对子序列偶发事件学习的影响

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Two experiments demonstrated that the prior predictive history of a cue governs the extent to which that cue engages in sequence learning. Using a serial reaction time task, we manipulated the predictiveness of the stimulus locations (cues) with respect to the location of the stimulus on the next trial (outcome), such that half of the cues were good predictors of their outcomes, whilst the other half were poorer predictors. Following this, all cues were then paired with novel outcomes. Learning about those cues that were previously established as good predictors proceeded more rapidly than learning for those cues previously established as poor predictors. When the simple recurrent network is modified to include a variable associability parameter, the effects are easily modelled.
机译:两项实验表明,线索的先验预测历史决定着该线索参与序列学习的程度。通过使用一系列反应时间任务,我们就下一次试验(结果)中刺激位置(提示)的可预测性进行了操纵,以使一半提示可以很好地预测其结果,而其他提示则可以很好地预测其结果一半是较差的预测指标。此后,所有线索都与新颖的结果配对。学习先前被确定为良好预测变量的线索比学习先前被确定为不良预测变量的线索要快得多。当对简单循环网络进行修改以包含可变关联性参数时,可以轻松对效果进行建模。

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