SSCC TD: a serial and simultaneous configural-cue compound stimuli representation for temporal difference learning.

SSCC TD: a serial and simultaneous configural-cue compound stimuli representation for temporal difference learning.
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DOI:
10.1371/journal.pone.0102469
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Jennings DJ
Jennings DJ
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Mondragón E;Gray J;Alonso E;Bonardi C;Jennings DJ

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本文提出了一种新颖的学习时间差异(TD)模型的表示框架,该框架允许计算配置刺激——刺激的累积复合,产生称为配置线索的感知突发事件。这种同时和串行配置提示复合刺激时间差异模型 (SSCC TD) 可以对同时和串行刺激复合以及包括实验背景的复合进行建模。这一修改显着拓宽了 TD 范式可以解释的现象范围,并使其能够预测传统 TD 解决方案无法预测的现象,特别是依赖于复合刺激作为一个整体发挥作用的效应,例如模式学习和序列结构辨别,以及上下文相关效应。
This paper presents a novel representational framework for the Temporal Difference (TD) model of learning, which allows the computation of configural stimuli – cumulative compounds of stimuli that generate perceptual emergents known as configural cues. This Simultaneous and Serial Configural-cue Compound Stimuli Temporal Difference model (SSCC TD) can model both simultaneous and serial stimulus compounds, as well as compounds including the experimental context. This modification significantly broadens the range of phenomena which the TD paradigm can explain, and allows it to predict phenomena which traditional TD solutions cannot, particularly effects that depend on compound stimuli functioning as a whole, such as pattern learning and serial structural discriminations, and context-related effects.
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