Laura Martines
Papers
1
Total Citations
2
H-Index
1
About
Laura Martines is a pioneering researcher in neural engineering and computational neuroscience, with a primary focus on closed-loop electrophysiology—a transformative approach that integrates real-time neural recording with stimulation to create adaptive, feedback-driven systems. Her seminal review, "Closed-loop electrophysiology: Past, present and future perspectives and applications" (2018), has garnered 2 citations and serves as a cornerstone for understanding how these systems bridge fundamental neuroscience questions and clinical neurorehabilitation. Martines’s work illuminates the design and application of closed-loop technologies, enabling precise modulation of neural activity for treating disorders like epilepsy or Parkinson’s, while also advancing brain-computer interfaces. Her contributions have shaped the trajectory of neural engineering, offering a roadmap for integrating recording and stimulation to create dynamic, responsive prosthetics and therapeutic devices. By synthesizing decades of research, Martines has provided a critical framework for students and researchers exploring the intersection of electrophysiology, machine learning, and neurotechnology. Her ongoing efforts continue to drive innovation in adaptive neural systems, making her a key figure in the evolution of closed-loop neuroscience.
Research Focus
Key Achievements
Top Papers
- 1