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Thesis

Representation learning for continual task performance

Abstract:

Humans have the remarkable ability to learn continually without forgetting, and adapt their behaviour to changing situational demands. While previous work has focussed on elucidating the mechanisms that underlie flexible context-dependent processing of information, much less is known about the format in which information is represented in the human brain, and how this promotes continual task performance. The aim of this DPhil was to develop computationally informed theories of representati...

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Division:
MSD
Department:
Experimental Psychology
Role:
Author

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Institution:
University of Oxford
Division:
MSD
Department:
Experimental Psychology
Role:
Supervisor
Role:
Supervisor
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Examiner
Role:
Examiner
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Name:
Medical Research Council
Funder identifier:
http://dx.doi.org/10.13039/501100000265
Funding agency for:
Flesch, T
Grant:
2108281
Programme:
Medical Sciences Graduate School Studentship
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Name:
University of Oxford
Funder identifier:
http://dx.doi.org/10.13039/501100000769
Funding agency for:
Flesch, T
Programme:
Medical Sciences Graduate School Studentship
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
DOI:

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