Domenico Maisto

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About

Domenico Maisto is a leading researcher in computational neuroscience, with a primary focus on motor control and the active inference framework. His work bridges theoretical models of brain function with practical implementations, particularly in continuous-time systems. Maisto’s major contribution lies in advancing the understanding of how the brain selects and controls actions, challenging traditional optimal control theories that rely on stimulus-response mappings. Instead, he champions ideomotor theory and cybernetics, proposing that actions are chosen and regulated through continuous-time active inference—a process where the brain minimizes prediction errors over time. His most-cited paper, "Modeling Motor Control in Continuous Time Active Inference: A Survey" (2023), has garnered 14 citations, reflecting its growing influence in the field. This survey synthesizes key concepts, offering a comprehensive overview that has become a touchstone for researchers exploring action selection and control. Maisto’s work is notable for its interdisciplinary approach, integrating insights from robotics, psychology, and neuroscience. His achievements include shaping the dialogue around predictive processing and motor behavior, making him a pivotal figure for students and researchers interested in the computational underpinnings of movement and cognition.