Myriam Taga

University of East London

Papers

2

Total Citations

6

H-Index

2

About

Myriam Taga investigates the neural and muscular mechanisms underlying human motor learning, with a focus on how the brain adapts to novel environments. Her research bridges motor control, neurophysiology, and rehabilitation robotics, exploring how individuals learn and refine movements in response to external forces. Taga’s work on motor adaptation and internal model formation in robot-mediated forcefields examines the role of error-based learning and individual differences in performance, using transcranial magnetic stimulation (TMS)-evoked potentials to probe neurophysiological mechanisms. She has also studied muscle co-contraction patterns during force field learning, revealing how the nervous system employs co-contraction as a strategy to stabilize movement under perturbation—insights that inform targeted muscle group training for neuropathological populations. Though her most cited papers have garnered modest attention (3 citations each), they contribute foundational knowledge to the fields of motor neuroscience and rehabilitation engineering. Taga’s research holds promise for developing personalized robotic therapies that enhance motor recovery in patients with neurological disorders, making her a rising voice in the intersection of robotics and neurorehabilitation.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
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: 8
🏛 Institutions: University of East London

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago