Camille E. Rullán Buxó

This study investigates how distributional reinforcement learning is implemented in the basal ganglia by analyzing dopamine neuron activity and striatal representations.

The paper introduces a model-free measure called effective number of shared dimensions (ENSD) to quantify shared structure between datasets, demonstrating its utility across neural networks and neuroscience data.

This paper introduces Poisson balanced spiking networks to address the instability caused by synaptic delays in traditional balanced spiking networks, showing improved robustness and realistic neural correlations.