听觉掩蔽检测任务中cs依赖的反应概率:基于巴甫洛夫条件反射模型的考虑。

Christine R Mason, Fabio Idrobo, Susan J Early, Ayome Abibi, Ling Zheng, J Michael Harrison, Laurel H Carney
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引用次数: 5

摘要

实验研究使用巴甫洛夫条件眨眼反应来测量兔在固定声级掩蔽噪声(N)中可变声级音调(T)的检测。结果显示,强化TN试验条件反应(cr)的渐近概率增加,而非强化N呈现的眨眼反应的渐近概率降低,这是t声级的函数。这些观察结果与听觉掩盖检测任务中的预期行为一致,但与传统应用Rescorla-Wagner或Pearce联想学习模型的预测不一致。为了实现这些模型,人们通常只考虑每次试验的实际刺激和强化。我们发现,通过考虑感知相互作用和信号检测理论的概念,这些模型可以预测CS对t声级的依赖。在这些替代实现中,动物的反应概率被用作对“有效刺激”做出假设的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CS-dependent response probability in an auditory masked-detection task: considerations based on models of Pavlovian conditioning.

Experimental studies were performed using a Pavlovian-conditioned eyeblink response to measure detection of a variable-sound-level tone (T) in a fixed-sound-level masking noise (N) in rabbits. Results showed an increase in the asymptotic probability of conditioned responses (CRs) to the reinforced TN trials and a decrease in the asymptotic rate of eyeblink responses to the non-reinforced N presentations as a function of the sound level of the T. These observations are consistent with expected behaviour in an auditory masked detection task, but they are not consistent with predictions from a traditional application of the Rescorla-Wagner or Pearce models of associative learning. To implement these models, one typically considers only the actual stimuli and reinforcement on each trial. We found that by considering perceptual interactions and concepts from signal detection theory, these models could predict the CS dependence on the sound level of the T. In these alternative implementations, the animals response probabilities were used as a guide in making assumptions about the "effective stimuli".

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