Silvia Marchesotti

École Polytechnique Fédérale de Lausanne

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About

Silvia Marchesotti’s research lies at the intersection of cognitive neuroscience, psychiatry, and human-robot interaction, with a focus on how the brain integrates sensory and motor signals to shape self-awareness and agency. Her major contributions span two key domains: first, advancing brain-machine interfaces (BMIs) by elucidating the cortical and subcortical mechanisms that enable real-time decoding of neural signals for controlling external devices—work that has garnered 45 citations and underpins technical progress in assistive technologies. Second, she has pioneered investigations into sensorimotor predictive processing in early psychosis, demonstrating that experimentally induced sensorimotor conflict can trigger auditory misattribution and passivity symptoms, a finding cited 44 times that offers new insights into the neural basis of self-monitoring failures. More recently, her work on visuo-motor integration during human-robot interactions (2023) explores how the brain adapts when bodily actions produce artificial movements, a timely contribution to the growing field of robotically mediated experiences. Marchesotti’s research is notable for bridging basic sensorimotor neuroscience with clinical and technological applications, making her a leading voice in understanding how the brain constructs the sense of self in both healthy and pathological states.