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Gaussian Process Based Filtering for Neural Decoding

Gaussian Process Based Filtering for Neural Decoding. Karthik L akshmanan, Humphrey Hu, Arun Venkatraman April 24, 2013. University of Pittsburgh . Sony Pictures. http://cs.cmu.edu/~arunvenk/academics/neural/. Setup & Motivation. Proposed Method.

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Gaussian Process Based Filtering for Neural Decoding

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  1. Gaussian Process Based Filtering for Neural Decoding Karthik Lakshmanan, Humphrey Hu, Arun Venkatraman April 24, 2013 University of Pittsburgh Sony Pictures http://cs.cmu.edu/~arunvenk/academics/neural/

  2. Setup & Motivation

  3. Proposed Method • Model non-linear observation mapping with Gaussian Processes (GPs) • Need to use Unscented Kalman Filter (UKF) • However, this can be slow to evaluate…

  4. Dimensionality Reduction

  5. Results & Conclusion • Improved decoding & produced a higher fidelity generative (observation) model (trained on 1/5 of training data)

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