Beyond Rescorla-Wagner: the ups and downs of learning

التفاصيل البيبلوغرافية
العنوان: Beyond Rescorla-Wagner: the ups and downs of learning
المؤلفون: Calcagni, Gianluca, Harris, Justin A., Pellón, Ricardo
المصدر: Comput. Brain Behav. (2021)
سنة النشر: 2020
المجموعة: Quantitative Biology
مصطلحات موضوعية: Quantitative Biology - Quantitative Methods, Quantitative Biology - Neurons and Cognition
الوصف: We check the robustness of a recently proposed dynamical model of associative Pavlovian learning that extends the Rescorla-Wagner (RW) model in a natural way and predicts progressively damped oscillations in the response of the subjects. Using the data of two experiments, we compare the dynamical oscillatory model (DOM) with an oscillatory model made of the superposition of the RW learning curve and oscillations. Not only do data clearly show an oscillatory pattern, but they also favor the DOM over the added oscillation model, thus pointing out that these oscillations are the manifestation of an associative process. The latter is interpreted as the fact that subjects make predictions on trial outcomes more extended in time than in the RW model, but with more uncertainty.
Comment: 39 pages, 11 figures, 8 tables. v2: discussion improved, figures added, some parts shortened, conclusions unchanged, matches published version
نوع الوثيقة: Working Paper
DOI: 10.1007/s42113-021-00103-4
URL الوصول: http://arxiv.org/abs/2004.05069
رقم الأكسشن: edsarx.2004.05069
قاعدة البيانات: arXiv
الوصف
DOI:10.1007/s42113-021-00103-4