Our research focuses on using Recurrent Neural Networks to explore the computational principles underlying decision-making processes.​

Our latest work, in collaboration with Alex Garcia-Duran, Alex Hyafil and Jaime de la Rocha (Molano-Mazón et al. 2024, Nature Communications, preprint) explores what rat and human movements during decision-making reveal about brain computations.​

Previously, in collaboration with Yuxiu Shao, Robert Yang and Srdjan Ostojic (Molano-Mazón et al. 2023 Current Biology, preprint), we showed that by pre-training RNNs on ecologically relevant environments, it is possible to recover a suboptimal behavior observed in rats performing a two-alternative forced-choice task that presents serial correlations.