Treviño Mario, Aguilar-Garnica Efrén, Jendritza Patrick, Li Shi-Bin, Oviedo Tatiana, Köhr Georg, De Marco Rodrigo J
Department of Molecular Neurobiology, Max Planck Institute for Medical Research, Jahnstrasse 29, 69120, Heidelberg, Germany.
Int Arch Med. 2011 Aug 3;4(1):26. doi: 10.1186/1755-7682-4-26.
In nature, sensory stimuli are organized in heterogeneous combinations. Salient items from these combinations 'stand-out' from their surroundings and determine what and how we learn. Yet, the relationship between varying stimulus salience and discrimination learning remains unclear.
A rigorous formulation of the problem of discrimination learning should account for varying salience effects. We hypothesize that structural variations in the environment where the conditioned stimulus (CS) is embedded will be a significant determinant of learning rate and retention level.
Using numerical simulations, we show how a modified version of the Rescorla-Wagner model, an influential theory of associative learning, predicts relevant interactions between varying salience and discrimination learning.
If supported by empirical data, our model will help to interpret critical experiments addressing the relations between attention, discrimination and learning.
在自然界中，感觉刺激是以异质组合的形式组织起来的。这些组合中的显著项目从周围环境中“凸显”出来，并决定我们学习的内容和方式。然而，不同刺激显著性与辨别学习之间的关系仍不清楚。
对辨别学习问题的严格表述应考虑不同的显著性效应。我们假设，嵌入条件刺激（CS）的环境中的结构变化将是学习速率和记忆水平的一个重要决定因素。
通过数值模拟，我们展示了联想学习的一个有影响力的理论——雷斯克拉-瓦格纳模型的一个修改版本如何预测不同显著性与辨别学习之间的相关相互作用。
如果得到实证数据的支持，我们的模型将有助于解释解决注意力、辨别和学习之间关系的关键实验。
