Mark Laubach
Papers
1
Total Citations
1,495
H-Index
1
About
Mark Laubach is a leading neuroscientist whose research bridges systems and computational neuroscience, with a primary focus on the neural mechanisms underlying motor control, decision-making, and learning. His groundbreaking work in the early 2000s demonstrated that ensembles of cortical neurons in primates could predict hand trajectories in real time—a seminal contribution that has garnered over 1,495 citations and laid foundational groundwork for brain-machine interfaces. Laubach’s research has since expanded to explore how prefrontal and motor cortices coordinate behavior, particularly during reward-based learning and cognitive flexibility. His studies have illuminated the role of neural oscillations and population dynamics in shaping action selection and execution. With a career marked by high-impact publications, Laubach’s work has been cited extensively, reflecting its influence on both basic neuroscience and translational applications. He has also contributed to advancing open-source tools for neural data analysis, fostering reproducibility and collaboration in the field. For students and researchers, Laubach’s career exemplifies the power of integrating electrophysiology, behavior, and computational modeling to unravel the neural basis of complex behaviors.
Research Focus
Key Achievements
Top Papers
- 1Real-time prediction of hand trajectory by ensembles of cortical neurons in primates1,495 citations · 2000