Extensive literatures have shown approaches for decoding upper limb kinematics or muscle activity using multichannel cortical spike recordings toward brain machine interface (BMI) applications. However, similar topics regarding lower limb remain relatively scarce. We previously reported a system for training monkeys to perform visually guided stand and squat tasks.
Download count: 0
- Digital object identifier: 10.3389/fnins.2017.00044
- Identifier TypeInternational standard serial numberIdentifier Value1662-4548
- Identifier TypeInternational standard serial numberIdentifier Value1662-453X
- View the article as published at http://journal.frontiersin.org/article/10.3389/fnins.2017.00044/full, opens in a new window
Citation and reuse
Cite this item
This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.
Ma, X., Ma, C., Huang, J., Zhang, P., Xu, J., & He, J. (2017). Decoding Lower Limb Muscle Activity and Kinematics from Cortical Neural Spike Trains during Monkey Performing Stand and Squat Movements. Frontiers in Neuroscience, 11. doi:10.3389/fnins.2017.00044