Samuel Liebana Garcia

This study shows that dopamine signals in the striatum reflect long-term learning strategies in mice, with a deep neural network model capturing these dynamics through reinforcement learning.

The paper shows mice adapt perceptual choice history biases to different temporal regularities, supported by a reinforcement learning model and striatal dopamine signals.

The paper evaluates motor impairments and beta oscillations in a 6-OHDA rat PD model, finding high beta power as a biomarker and DBS as a performance enhancer.