"we propose an efficient decoding algorithm using a deep canonical correlation analysis (DCCA), which maximizes correlations between canonical variables with the non-linear approximation of mappings from neuronal to canonical variables via deep learning."
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RT @FrontNeurosci: New Research: Decoding Kinematic Information From Primary Motor Cortex Ensemble Activities Using a Deep Canonical Correl…
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New Research: Decoding Kinematic Information From Primary Motor Cortex Ensemble Activities Using a Deep Canonical Correlation Analysis: The control of arm movements through intracortical brain–machine interfaces (BMIs) mainly relies on the… https://t.co/7J