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Control of entropy in internal models
Observers constantly build and update internal models of their environment, which are used to guide action. One challenge faced by these observers is to balance the need to construct stable models, based on a long history with data, against the need to be adaptable to possible changes in the environment. In this talk I will discuss situations in which there is a need to maintain flexibility in internal models (Computational Theory), how this flexibility can be expressed mathematically (algorithm) and possible neural mechanisms (implementation) using data from human neuroimaging and behaviour in learning tasks.
Date:
4 May 2016, 13:00
Venue:
Tinsley Building, Mansfield Road OX1 3TA
Speaker:
Dr Jill O'Reilly (University of Oxford)
Organising department:
Centre for Neural Circuits and Behaviour
Organisers:
Dr Tim P Vogels (University of Oxford),
Dr Rui Ponte Costa (University of Oxford)
Part of:
Oxford NeuroAI Forum
Booking required?:
Not required
Audience:
Public
Editor:
Rui Costa
