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Challenges for Large-Scale Cortical Interfaces.
1Brown University, Providence, RI 02912, USA.
Neuron
|October 29, 2020
Summary
This perspective explores advanced brain-machine interfaces, focusing on scalable cortical interfaces for active implants. Key challenges involve high-resolution neural sensors, low-power electronics, and wireless data for chronic human use.
Area of Science:
- Neuroengineering
- Biomedical Engineering
- Neuroscience
Background:
- Brain-machine interfaces (BMIs) are advancing rapidly.
- Large-scale cortical interfaces are crucial for sophisticated BMIs.
Purpose of the Study:
- To review the current state of large-scale cortical interfaces.
- To discuss challenges and future directions for active implantable BMIs.
Main Methods:
- Examination of research and development in scalable electrophysiological sensors.
- Analysis of neuroengineering challenges for chronic human implantation.
Main Results:
- Scalable sensors aim for near-cellular resolution across thousands of cortical points.
- Key issues include probe geometry, low-power electronics, and wireless telemetry.
Conclusions:
- Significant advancements are needed in device design and packaging for chronic human use.
- The field is embryonic but holds promise for future active implants.
