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Hierarchical Reinforcement Learning in Behavior and the Brain
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 13.44 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Reinforcement learning (RL) has provided key insights to the neurobiology
of learning and decision making. The pivotal nding is that the
phasic activity of dopaminergic cells in the ventral tegmental area during
learning conforms to a reward prediction error (RPE), as speci ed in the
temporal-di erence learning algorithm (TD). This has provided insights to
conditioning, the distinction between habitual and goal-directed behavior,
working memory, cognitive control and error monitoring. It has also advanced
the understanding of cognitive de cits in Parkinson's disease, depression,
ADHD and of personality traits such as impulsivity.(...)
Descrição
Dissertation presented to obtain the Ph.D degree in Biology, Neuroscience
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Contexto Educativo
Citação
Editora
Universidade Nova de Lisboa. Instituto de Tecnologia química e Biológica.