Experiencing associative interference facilitates excitatory predictive learning about a conditioned inhibitor in humans
- José Enrique Callejas Aguilera Directeur
- Juan Manuel Rosas Santos Co-directeur
Université de défendre: Universidad de Jaén
Fecha de defensa: 25 mars 2021
- Gumersinda Alonso Martínez President
- Concepción Paredes-Olay Secrétaire
- Javier Vila Carranza Rapporteur
Type: Thèses
Résumé
The purpose of this doctoral thesis is to explore the impact of increasing prediction error on subsequent new learning. To achieve this goal, we have carried out two human predictive learning studies to evaluate the impact of a sudden increase in prediction error generated by different association interference experience on subsequent learning. Assuming that the increase in prediction error leads to a general increase in attention, this will facilitate subsequent learning. Both, theoretical review and empirical results, show that the manipulation of prediction error can increased attention, which in turn translates to improvements in subsequent learning, regardless of whether the increases in the prediction error involves extinction of a previously trained cue or pairing a cue with the outcome when it was previously followed by the absence of it.