Bruno Miranda

This study identifies neural signatures of model-based and model-free reinforcement learning in prefrontal cortex and striatum using single-neuron recordings in rhesus macaques.

This paper introduces a wearable backpack for collecting multi-modal data in urban environments to improve ecological validity in mental health research.

The paper uses functional brain imaging to predict population-level visits to urban spaces in Lisbon by linking vmPFC activity to photo density.

This study shows distributional reinforcement learning better explains prefrontal cortex responses compared to classic reinforcement learning.

This study combines model-free and model-sensitive reinforcement learning in rhesus monkeys, showing both strategies influence decision-making and response vigor.

The paper demonstrates a triple dissociation of attention and decision computations across three prefrontal cortex subregions during value-guided choice.