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Найдено 5 публикаций
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Препринт
Keramati M., Gutkin B. Biorxiv. 005140. Cold Spring Harbor Laboratory, 2014
Efficient regulation of internal homeostasis and defending it against perturbations requires complex behavioral strategies. However, the computational principles mediating brain's homeostatic regulation of reward and associative learning remain undefined. Here we use a definition of primary rewards, as outcomes fulfilling physiological needs, to build a normative theory showing how learning motivated behavior is modulated by the internal state of the animal. The theory proves that seeking rewards is equivalent to the fundamental objective of physiological stability, defining the notion of physiological rationality of behavior. We further give a formal basis for temporal discounting of reward. It also explains how animals learn to act predictively to preclude prospective homeostatic challenges, and attributes a normative computational role to the modulation of midbrain dopaminergic activity by hypothalamic signals. 
Добавлено: 29 декабря 2014
Препринт
Razorenova A., Yavich N., Malovichko M. et al. Biorxiv. 005140. Cold Spring Harbor Laboratory, 2020
Добавлено: 10 ноября 2020
Препринт
Pich i Rosello O., Vlasova A., Shichkova P. et al. Biorxiv. 005140. Cold Spring Harbor Laboratory, 2017
Добавлено: 7 июля 2017
Препринт
Svedberg J., Shchur V., Reinman S. et al. Biorxiv. 005140. Cold Spring Harbor Laboratory, 2020
Добавлено: 17 октября 2020
Препринт
Razorenova A., Chernyshev B. V., Nikolaeva A. et al. Biorxiv. 005140. Cold Spring Harbor Laboratory, 2019
Добавлено: 1 сентября 2019