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Q&A with Prof. Yael Niv: Model-based predictions for dopamine
Talk will be at 1pm (online link will be provided soon), afterwards, at 6pm everyone is welcome to join for a Q&A session with Prof. Yael Niv
Phasic dopamine responses are thought to encode a prediction-error signal consistent with model-free reinforcement learning theories. However, a number of recent findings highlight the influence of model-based computations on dopamine responses, and suggest that dopamine prediction errors reflect more dimensions of an expected outcome than scalar reward value. In this talk I will focus on these challenges to the scalar prediction-error theory of dopamine, and to the strict dichotomy between model-based and model-free learning, suggesting that these may better be viewed as a set of intertwined computations rather than two alternative systems. Alas, phasic dopamine signals, until recently a beacon of computationally-interpretable brain activity, may not be as simple as we once hoped they were.
Date:
9 April 2020, 18:00
Venue:
Venue to be announced
Speaker:
Professor Yael Niv (Princeton University)
Organiser:
Cortex Club (University of Oxford)
Part of:
Cortex Club - Oxford Neuroscience Society
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Marta Blanco pozo
