Annacarmen Curci

University of East London

Papers

1

Total Citations

3

H-Index

1

About

Annacarmen Curci investigates the neural mechanisms underlying motor learning and adaptation, with a particular focus on how the brain forms internal models to guide movement in dynamic environments. Her work bridges motor control and neurophysiology, using advanced techniques such as transcranial magnetic stimulation (TMS) to probe cortical excitability and plasticity during error-based learning. In her most cited study, “Motor adaptation and internal model formation in a robot-mediated forcefield” (2021, 3 citations), Curci explores how individuals adapt to novel force perturbations, shedding light on the neurophysiological sources of variability in motor performance. Though early in her citation trajectory, her research holds significant promise for understanding sensorimotor integration and rehabilitation. By combining robotic interfaces with TMS-evoked potentials, Curci offers a direct, real-time window into the brain’s adaptive processes—an approach that could inform personalized therapies for motor impairments following stroke or injury. Her work exemplifies a rigorous, mechanistic approach to motor neuroscience, positioning her as an emerging voice in the study of human motor learning and neuroplasticity.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Motor adaptation and internal model formation in a robot-mediated forcefield
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of East London

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago