Measuring and modifying information bias in depression

Thesis

Background: Depression is a common illness which is believed to be caused, at least in part, by a tendency to preferentially process negative, at the expense of positive, events. Recent work in computational neuroscience indicates that individuals estimate how informative an event is and are more influenced by those events they judge to be more informative. This suggests a potential mechanism which may lead an individual to develop a negative bias—they may estimate that negative e...

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Authors: Han, S

• Type of award: MSc by Research
• Level of award: Masters
• Awarding institution: University of Oxford
• Language: English
• Keywords: inverse temperature; computational neuroscience; learning rate; psychiatry; depression
• Subjects: Psychology; Psychiatry; Neurosciences