Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces
Benyamin Haghi, Spencer Kellis, Sahil S. Shah, Maitreyi Ashok, Luke Bashford, Daniel R. Kramer, Brian C. Lee, Charles Yu Liu, Richard A. Andersen, Azita Emami
This paper introduces a deep multi-state DRNN for BMIs that outperforms existing methods using wavelet-based features on single- and multi-day data.
bioRxiv · Nov 7, 2019 · PreprintNeuroscience