To tackle these questions, we use a wide range of methods, including intracranial EEG, human single-unit recordings, scalp EEG, fMRI, and eye-tracking. We analyze these signals with advanced computational approaches such as representational similarity analysis, machine learning, and artificial intelligence. We also bring neuroscience into life-like settings by embedding our experiments within immersive Virtual, Augmented, and Mixed Reality environments. This unique combination allows us to investigate how perception, decision-making, prediction, and memory arise from dynamic brain activity.