Unsupervised Neural Manifold Alignment for Stable Decoding of Movement from Cortical Signals

The stable decoding of movement parameters using neural activity is crucial for the success of brain-machine interfaces (BMIs). However, neural activity can be unstable over time, leading to changes in the parameters used for decoding movement, which can hinder accurate movement decoding. To tackle...

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Bibliographic Details

Published in:	International journal of neural systems Vol. 34; no. 1; p. 2450006
Main Authors:	Ganjali, Mohammadali, Mehridehnavi, Alireza, Rakhshani, Sajed, Khorasani, Abed
Format:	Journal Article
Language:	English
Published:	Singapore 01.01.2024
Subjects:	manifold alignment movement decoding canonical correlation analysis Brain-machine interface principal component analysis
ISSN:	1793-6462, 1793-6462
Online Access:	Get more information
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