- PhD Student
- Team: Amac
- Office: 310
- Email: email@example.com
- Phone:01 44 27 51 41
- Addresse: ISIR, Campus Pierre et Marie Curie, 4 place Jussieu, BC173, 75005 Paris
- Website: https://www.linkedin.com/in/elisa-massi-64113310a/
- Bio: My thesis research is in the scope of the 80 | PRIME CNRS project RHiPAR, whose aim is to investigate the link between offline reactivations in Reinforcement Learning and the reactivations of the place cells in the hippocampus during the immobility phases of rodents learning a navigation task. This research involves one part on behavioural modelling of the free and conditioned explorative behaviour in mice, starting from experimental data, and a second part on the evaluation of these models in simulations and on a robotic platform. These last experiments could be the inspiration for new behavioural predictions and the design of new experimental tasks.