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Thesis

Computational and neural mechanisms of human aversive learning

Abstract:

Aversive learning is characterised by rapid learning which is highly resistant to extinction. This has likely developed as an evolutionary mechanism but it often becomes maladaptive. In this thesis I investigate computational mechanisms governing the learning of aversive beliefs, neural structures that are involved in the process and test whether pharmacological intervention can be used to amend learning.

In a series of three experiments in healthy volunteers ranging in trait anxi...

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Division:
MSD
Department:
Clinical Neurosciences
Role:
Author

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Supervisor
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Supervisor
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Name:
Engineering and Physical Sciences Research Council
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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