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Modelling human planning and hippocampal replay with an RNN that "thinks"
Join online here: https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZTBmZDgyMjAtNTBmMy00NGJkLTk0MGItZmM2MGQ1MzRiNDk1%40thread.v2/0?context=%7b%22Tid%22%3a%22cc95de1b-97f5-4f93-b4ba-fe68b852cf91%22%2c%22Oid%22%3a%22ea78e35d-fa18-4e60-8930-b893b483f3da%22%7d
When interacting with complex environments, humans can rapidly adapt their behaviour in response to changes in task or context. To facilitate this adaptation, people often spend substantial periods of time contemplating possible futures before acting. In this talk, I will present empirical and modelling work exploring the critical balance between thinking and acting, and the factors affecting the content of our thoughts when we are making a decision. I will describe a neural network model that learns to plan when planning is beneficial. This model explains variations in human thinking times and accounts for neural activity recorded from the rodent hippocampus during navigation tasks. This work integrates neuroscience, psychology, and computational modelling to shed light on the neural basis of flexible decision-making.
Date:
12 February 2025, 16:00
Venue:
Sherrington Building, off Parks Road OX1 3PT
Venue Details:
The meeting will be in the Florence Buchanan Room, DPAG
Speaker:
Marcello Mattar (NYU)
Organiser:
Sasha Tinelli (University of Oxford)
Organiser contact email address:
sasha.tinelli@chch.ox.ac.uk
Host:
Sasha Tinelli (University of Oxford)
Booking required?:
Not required
Audience:
Public
Editor:
Sasha Tinelli
