- Thursday, March 4th 2021 at 21:00 - 22:00 UK (Other timezones)
- General participation info | Participate online | + Phone in Meeting ID: 972 4297 4350 Passcode: 205293 Find your local number: https://ucl.zoom.us/u/aedyEiW1A6
PLEASE NOTE UNUSUAL TIME
Recurrent neural networks have been shown to provide a flexible way for modelling human behaviour. In this talk, I will present different recurrent neural network architectures for modelling behavioural and neural data and compare their abilities with traditional computational models. I’ll further present a reinforcement-learning framework in which recurrent neural networks can be used to influence human choices and explore its ability in simple scenarios to complex social decision-making tasks.
Senior Research Scientist