Article

Sparse Ensemble Machine Learning to improve robustness of long-term decoding in iBMIs

2019-11-07

Abstract excerpt

This paper presents a novel sparse ensemble based machine learning approach to enhance robustness of intracortical Brain Machine Interfaces (iBMIs) in the face of non-stationary distribution of input neural data across time. Each classifier in the ensemble is trained on a randomly sampled (with replacement) set of input channels. These sparse connections ensure that with a high chance, few of the base classifiers...

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Literature Corpus work: c13c5811-b156-5a19-ab03-149e2ded25e6
DOI: 10.1101/834028

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