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Building synaptic plasticity rules that learn generalisation-apt neuronal architectures

Abstract:

One of the hallmarks of intelligent behaviour is the ability to generalise, i.e. to make use of information from specific experiences to solve unencountered scenarios. Here I focus on the generalisation task of transitive inference, which tests the ability to infer that stimulus A is preferable to C, based solely on previous training that A is preferred over B and B is preferred over C. Such inference tasks are thought to be performed by hippocampal-entorhinal circuits and rely heavily on ...

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Division:
MSD
Department:
Physiology Anatomy & Genetics
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Author

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Type of award:
MSc by Research
Level of award:
Masters
Awarding institution:
University of Oxford

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