Papers

2

Total Citations

30

H-Index

2

About

Aamir Abbasi is a leading researcher in neural engineering, whose work is fundamentally advancing the development of closed-loop brain-machine interfaces (BMIs). His primary research areas focus on creating fast, bidirectional communication pathways between the brain and external devices, with a particular emphasis on integrating sensory feedback to improve control and usability. Abbasi’s major contributions include pioneering a fast intracortical BMI that incorporates patterned optogenetic feedback, a breakthrough that allows for more natural and intuitive control by directly stimulating the brain with sensory information. This work, his most cited with 26 citations, represents a significant step toward restoring autonomy for patients with paralysis or limb loss. He further demonstrated the practical application of this technology by successfully controlling a simulated robotic prosthesis in a closed-loop system. By bridging the gap between neural decoding and real-world prosthetic function, Abbasi’s research is laying the critical groundwork for next-generation neuroprosthetics that can restore both movement and sensation, offering profound hope for improved quality of life.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A fast intracortical brain–machine interface with patterned optogenetic feedback
26 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Institut des Neurosciences Paris-Saclay, Université Paris-Sud

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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