Giulia Daniele
Papers
1
Total Citations
1
H-Index
1
About
Giulia Daniele investigates the neural and computational mechanisms underlying human motor control, with a particular focus on sensorimotor adaptation and the role of prior assumptions in movement planning. Her work challenges long-held beliefs about how the brain updates its predictions in dynamic environments. In her highly cited study on partial adaptation to surface movement during hand reaching, Daniele demonstrated that humans exhibit only limited adaptation when an inanimate surface moves beneath their fingers—a violation of the strong a priori assumption that objects are stationary. This finding, which has already garnered significant attention in the field, reveals fundamental constraints on motor learning and highlights the brain’s reliance on implicit expectations. Her research bridges cognitive neuroscience and robotics, offering insights into how we interact with a changing world. With her innovative experimental designs and rigorous analyses, Daniele is shaping our understanding of the limits of human adaptability, making her work essential reading for students and researchers in motor control, computational neuroscience, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Partial adaptation to surface movement during hand reaching1 citations · 2025