التفاصيل البيبلوغرافية
| العنوان: |
Neurodynamical theory of decision confidence |
| المؤلفون: |
Insabato, Andrea |
| المساهمون: |
Deco, Gustavo, Pannunzi, Mario, Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions |
| المصدر: |
TDX (Tesis Doctorals en Xarxa) |
| بيانات النشر: |
Universitat Pompeu Fabra |
| سنة النشر: |
2014 |
| المجموعة: |
Tesis Doctorals de la Universitat d'Andorra (TDX) |
| مصطلحات موضوعية: |
Confidence, Decision-making, Attractor neural network, Neurophysiology, Neural correlates, Monitoring, Higher order cognitive functions, Decision-confidence, Data analysis, Cognition, Modeling, Computational neuroscience, Confianza, Toma de decisiones, Red neuronal de atractores, Neurofisiologia, Correlatos neuronales, Funciones cognitivas de alto orden, Confidenza en la decisión, Análisis de datos, Cognición, Modelado, Neurociencia computacional |
| الوقت: |
62 |
| الوصف: |
Decision confidence offers a window on introspection and onto the evaluation mechanisms associated with decision-making. Nonetheless we do not have yet a thorough understanding of its neurophysiological and computational substrate. There are mainly two experimental paradigms to measure decision confidence in animals: post-decision wagering and uncertain option. In this thesis we explore and try to shed light on the computational mechanisms underlying confidence based decision-making in both experimental paradigms. We propose that a double-layer attractor neural network can account for neural recordings and behavior of rats in a post-decision wagering experiment. In this model a decision-making layer takes the perceptual decision and a separate confidence layer monitors the activity of the decision-making layer and makes a judgment about the confidence in the decision. Moreover we test the prediction of the model by analyizing neuronal data from monkeys performing a decision-making task. We show the existence of neurons in ventral Premotor cortex that encode decision confidence. We also found that both a continuous and discrete encoding of decision confidence are present in the primate brain. In particular we show that different neurons encode confidence through three different mechanisms: 1. Switch time coding, 2. rate coding and 3. binary coding. Furthermore we propose a multiple-choice attractor network model in order to account for uncertain option tasks. In this model the confidence emerges from the stochastic dynamics of decision neurons, thus making a separate monitoring network (like in the model of the post-decision wagering task) unnecessary. The model explains the behavioral and neural data recorded in monkeys lateral intraparietal area as a result of the multistable dynamics of the attractor network, whereby it is possible to make several testable predictions. The rich neurophysiological representation and computational mechanisms of decision confidence evidence the basis of different functional ... |
| نوع الوثيقة: |
doctoral or postdoctoral thesis |
| وصف الملف: |
163 p.; application/pdf |
| اللغة: |
English |
| العلاقة: |
http://hdl.handle.net/10803/129463Test |
| الإتاحة: |
http://hdl.handle.net/10803/129463Test |
| حقوق: |
L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/3.0/esTest/ ; http://creativecommons.org/licenses/by-nc-nd/3.0Test/ ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edsbas.2CF396B6 |
| قاعدة البيانات: |
BASE |
