Simultaneus prediction of four kinematic variables for a brain-machine interface using a single recurrent neural network.
Publication
, Journal Article
Sanchez, JC; Principe, JC; Carmena, JM; Lebedev, MA; Nicolelis, MAL
Published in: Conf Proc IEEE Eng Med Biol Soc
2004
Implementation of brain-machine interface neural-to-motor mapping algorithms in low-power, portable digital signal processors (DSPs) requires efficient use of model resources especially when predicting signals that show interdependencies. We show here that a single recurrent neural network can simultaneously predict hand position and velocity from the same ensemble of cells using a minimalist topology. Analysis of the trained topology showed that the model learns to concurrently represent multiple kinematic parameters in a single state variable. We further assess the expressive power of the state variables for both large and small topologies.
Duke Scholars
Published In
Conf Proc IEEE Eng Med Biol Soc
DOI
ISSN
1557-170X
Publication Date
2004
Volume
2004
Start / End Page
5321 / 5324
Location
United States
Citation
APA
Chicago
ICMJE
MLA
NLM
Sanchez, J. C., Principe, J. C., Carmena, J. M., Lebedev, M. A., & Nicolelis, M. A. L. (2004). Simultaneus prediction of four kinematic variables for a brain-machine interface using a single recurrent neural network. Conf Proc IEEE Eng Med Biol Soc, 2004, 5321–5324. https://doi.org/10.1109/IEMBS.2004.1404486
Sanchez, J. C., J. C. Principe, J. M. Carmena, Mikhail A. Lebedev, and M. A. L. Nicolelis. “Simultaneus prediction of four kinematic variables for a brain-machine interface using a single recurrent neural network.” Conf Proc IEEE Eng Med Biol Soc 2004 (2004): 5321–24. https://doi.org/10.1109/IEMBS.2004.1404486.
Sanchez JC, Principe JC, Carmena JM, Lebedev MA, Nicolelis MAL. Simultaneus prediction of four kinematic variables for a brain-machine interface using a single recurrent neural network. Conf Proc IEEE Eng Med Biol Soc. 2004;2004:5321–4.
Sanchez, J. C., et al. “Simultaneus prediction of four kinematic variables for a brain-machine interface using a single recurrent neural network.” Conf Proc IEEE Eng Med Biol Soc, vol. 2004, 2004, pp. 5321–24. Pubmed, doi:10.1109/IEMBS.2004.1404486.
Sanchez JC, Principe JC, Carmena JM, Lebedev MA, Nicolelis MAL. Simultaneus prediction of four kinematic variables for a brain-machine interface using a single recurrent neural network. Conf Proc IEEE Eng Med Biol Soc. 2004;2004:5321–5324.
Published In
Conf Proc IEEE Eng Med Biol Soc
DOI
ISSN
1557-170X
Publication Date
2004
Volume
2004
Start / End Page
5321 / 5324
Location
United States