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Decoding Kinematics from Human Parietal Cortex using Neural Networks

Shah, Sahil and Haghi, Benyamin and Kellis, Spencer and Bashford, Luke and Kramer, Daniel and Lee, Brian and Liu, Charles and Andersen, Richard and Emami, Azita (2019) Decoding Kinematics from Human Parietal Cortex using Neural Networks. In: 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE , Piscataway, NJ, pp. 1138-1141. ISBN 9781538679210. http://resolver.caltech.edu/CaltechAUTHORS:20190523-133828806

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Abstract

Brain-machine interfaces have shown promising results in providing control over assistive devices for paralyzed patients. In this work we describe a BMI system using electrodes implanted in the parietal lobe of a tetraplegic subject. Neural data used for the decoding was recorded in five 3-minute blocks during the same session. Within each block, the subject uses motor imagery to control a cursor in a 2D center-out task. We compare performance for four different algorithms: Kalman filter, a two-layer Deep Neural Network (DNN), a Recurrent Neural Network (RNN) with SimpleRNN unit cell (SimpleRNN), and a RNN with Long-Short-Term Memory (LSTM) unit cell. The decoders achieved Pearson Correlation Coefficients (ρ) of 0.48, 0.39, 0.77 and 0.75, respectively, in the Y-coordinate, and 0.24, 0.20, 0.46 and 0.47, respectively, in the X-coordinate.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/ner.2019.8717137DOIArticle
ORCID:
AuthorORCID
Haghi, Benyamin0000-0002-4839-7647
Bashford, Luke0000-0003-4391-2491
Kramer, Daniel0000-0003-4551-2977
Andersen, Richard0000-0002-7947-0472
Emami, Azita0000-0003-2608-9691
Additional Information:© 2019 IEEE. This IRB approved research was supported by Chen Institute for Neuroscience at the California Institute of technology (Caltech), Pasadena, CA USA 91125.
Group:Tianqiao and Chrissy Chen Institute for Neuroscience
Funders:
Funding AgencyGrant Number
Tianqiao and Chrissy Chen Institute for NeuroscienceUNSPECIFIED
Record Number:CaltechAUTHORS:20190523-133828806
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190523-133828806
Official Citation:S. Shah et al., "Decoding Kinematics from Human Parietal Cortex using Neural Networks," 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), San Francisco, CA, USA, 2019, pp. 1138-1141. doi: 10.1109/NER.2019.8717137
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:95764
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:23 May 2019 21:09
Last Modified:23 May 2019 21:09

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