Lisa Guevremont

University of Alberta

Papers

1

Total Citations

72

H-Index

1

About

Lisa Guevremont is a leading researcher in neuromorphic engineering and neural prosthetics, with a focus on restoring locomotion through bio-inspired hardware. Her most cited work, "A Silicon Central Pattern Generator Controls Locomotion in Vivo" (2008, 72 citations), represents a landmark contribution: she designed a silicon chip that emulates the biological spinal central pattern generator (CPG), using ten integrate-and-fire neurons and 190 programmable synapses to generate realistic locomotor patterns. This chip was successfully tested in vivo, demonstrating that synthetic neural circuits can directly control walking in living organisms—a critical step toward implantable neuroprosthetics for paralysis. Guevremont’s research bridges computational neuroscience and microelectronics, offering a scalable platform for understanding neural rhythmogenesis and developing closed-loop spinal cord stimulators. Her work has been widely cited in both engineering and neuroscience communities, influencing subsequent designs for adaptive, low-power neuromorphic systems. By translating biological principles into functional silicon, Guevremont has opened new avenues for treating movement disorders, making her a pivotal figure in the quest to restore natural gait after spinal cord injury.

Research Focus

Key Achievements

1
H-Index
1
Papers
72
Total Citations
72
Avg Citations/Paper
🏆 Most Cited Paper
A Silicon Central Pattern Generator Controls Locomotion in Vivo
72 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Alberta

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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