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The context effect as interaction of temporal generalization gradients: Testing the fundamental assumptions of the Learning-to-Time model

机译:作为时间泛化梯度交互作用的上下文效应:测试“学习到时间”模型的基本假设

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摘要

To test the Learning-to-Time model, six pigeons learned two temporal bisection tasks. In one task they learned to choose a Red key over a Green key following 2-s samples and the Green key over the Red key following 6-s samples; in another task, they learned to choose a Blue key over a Yellow key following 6-s samples and the Yellow key over the Blue key following 18-s samples. After each task was learned, temporal generalization gradients were obtained with samples ranging from 0.7. s to 51.4. s. Finally, preference for Green over Blue - the keys associated with the common 6-s duration, was determined as a function of sample duration. Two issues were examined, whether the preference for Green over Blue increased with sample duration, a transposition-like effect reported before, and whether the preference for Green over Blue could be predicted from the generalization gradients for Green and Blue previously obtained. Results showed that preference for Green over Blue increased with sample duration and that the general shape of the function could be predicted from the generalization gradients. The Learning-to-Time model accounted well for the major trends in the data.This article is part of a Special Issue entitled: SQAB 2012.
机译:为了测试“按时学习”模型,六羽鸽子学习了两个时间平分任务。在一项任务中,他们学会了在2s采样后选择绿色键上的红色键,在6s采样后选择红色键上的绿色键。在另一项任务中,他们学会了在6秒采样后选择蓝键而不是黄键,并在18秒采样后选择蓝键而不是蓝键。学习完每个任务后,使用0.7范围内的样本获得了时间泛化梯度。 s至51.4。 s。最终,确定绿色优先于蓝色-与常见的6秒钟持续时间相关的键,取决于采样持续时间。研究了两个问题,绿色对蓝色的偏好是否随样本持续时间的增加而增加,之前报道的转座效应,以及是否可以通过先前获得的绿色和蓝色的泛化梯度来预测绿色对蓝色的偏好。结果表明,随着采样时间的延长,绿色优先于蓝色优先,并且该函数的总体形状可以通过泛化梯度来预测。实时学习模型很好地说明了数据的主要趋势。本文是《 SQAB 2012》特刊的一部分。

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