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Thesis

Neural mechanisms for flexible behaviour in humans and artificial neural networks

Abstract:

The natural environment is non-stationary – whilst our daily life often follows a routine, circumstances can change, and no two experiences are the same. To thrive, intelligent agents must therefore be able to flexibly adjust the way they process information to support the pursuit of their goals. In this thesis, I explored different aspects of such flexible, intelligent behaviour. To this end, I used a combination of artificial neural network modelling and human behavioural methods, comparing...

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Supervisor
Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Supervisor
More from this funder
Name:
Economic and Social Research Council
Funder identifier:
https://ror.org/03n0ht308
Programme:
Economic and Social Research Council (ESRC) Studentship, Grand Union Doctoral Training Partnership
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
DOI:
Language:
English
Subjects:
Deposit date:
2024-06-30

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