Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression

DOI10.1162/neco_a_01129zbMath1472.92131OpenAlexW2889870209WikidataQ60108784 ScholiaQ60108784MaRDI QIDQ5157264

David M. Brandman, Brian Franco, Michael C. Burkhart, Leigh R. Hochberg, Jessica Kelemen, Matthew T. Harrison

Publication date: 12 October 2021

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6685768

zbMATH Keywords

Gaussian process regressionintracortical brain computer interfacessignal nonstationarities

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Neural networks for/in biological studies, artificial life and related topics (92B20)

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Cites Work

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• The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis
• Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter
• Metric-space analysis of spike trains: theory, algorithms and application
• Design and Analysis of Closed-Loop Decoder Adaptation Algorithms for Brain-Machine Interfaces
• Spike Train SIMilarity Space (SSIMS): A Framework for Single Neuron and Ensemble Data Analysis
• Neural Decoding with Kernel-Based Metric Learning

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