Samantha Robertson

Stanford University

Papers

2

Total Citations

10

H-Index

2

About

Samantha Robertson is a systems neuroscientist dedicated to advancing real-time computational tools for in vivo electrophysiology. Her work centers on developing open-source platforms that enable researchers to monitor and process neural data and behavioral events simultaneously—a critical capability for studying dynamic brain activity in behaving animals. Her most cited paper, "An open-source realtime computational platform," introduces a flexible, low-latency system that integrates neural signal acquisition with real-time feedback, allowing experiments to adapt on the fly to neural events like action potentials or limb movements. Though early in her career, with this work garnering 5 citations, Robertson’s contribution is foundational for labs seeking accessible, customizable solutions for closed-loop neuroscience. By prioritizing open-source design, she lowers barriers for reproducibility and collaboration, making sophisticated real-time processing available to a broader research community. Her platform is particularly valuable for studies requiring precise timing between sensory input, neural activity, and behavioral output. Robertson’s commitment to bridging hardware and software in systems neuroscience positions her as an emerging leader in tool-building for next-generation neural circuit investigations.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
An open-source realtime computational platform (short WIP paper)
5 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Stanford University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago