Jack Brookes

This study investigates human escape behavior in virtual reality, revealing structured kinematic patterns influenced by threat and context, distinct from those observed in other mammals.

The paper demonstrates that hysteresis in human sensorimotor decision-making emerges from a dynamic system learning from action consequences, supported by experiments and a computational model.

The paper examines how the brain processes selection and execution errors using EEG, finding distinct neural signatures for each type of error.

This study shows that disturbance forces enhance motor learning by reducing entropy, as predicted by the Free Energy Principle, through experiments with human arm movements in force fields.

The paper introduces a framework for creating VR experiments in Unity to study human behavior, demonstrating its ability to simplify experiment development and data collection.