Federico Maggiore

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About

Federico Maggiore is a researcher at the forefront of computational neuroscience, specializing in motor control and active inference. His work bridges the gap between ideomotor theory, cybernetics, and modern Bayesian brain frameworks. Maggiore’s major contribution lies in modeling how the brain selects and controls actions in continuous time, challenging traditional optimal control approaches that rely on stimulus-response mappings. Instead, he advances a perspective where actions are driven by predictions and sensory feedback, rooted in the active inference framework. His most-cited survey, “Modeling Motor Control in Continuous Time Active Inference: A Survey” (2023), has garnered 14 citations, reflecting its growing influence in the field. This work synthesizes complex theoretical ideas into a coherent model, offering a compelling alternative to mainstream computational motor control. Maggiore’s research has significant implications for robotics, rehabilitation, and understanding neurological disorders. By integrating principles from cybernetics and ideomotor theory, he provides a fresh lens for studying goal-directed behavior. His work is essential reading for students and researchers interested in how the brain orchestrates movement through prediction and inference.