Brain Predictive

Brain predictive processing research investigates how the brain anticipates sensory input and uses these predictions to guide perception, action, and cognition. Current research focuses on developing computational models, such as transformer networks and active inference frameworks, to simulate and analyze brain activity related to language processing, sensory perception (e.g., sonar), and decision-making, often integrating human and machine judgments. These studies leverage fMRI data and large language models to improve our understanding of neural mechanisms underlying cognitive functions and potentially inform the development of more effective interventions for conditions like dyslexia. The ultimate goal is to build more accurate and comprehensive models of brain function, leading to advancements in both neuroscience and related fields like robotics and artificial intelligence.