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This is the implementation of DRNN in our paper "Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces", accepted at NeurIPS 2019

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DRNN_NeurIPS2019

This is the implementation of DRNN in our paper "Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces", accepted at NeurIPS 2019

B. A. Haghi, S. Kellis, S. Shah, M. Ashok, L. Bashford, D. Kramer, B. Lee, Ch. Liu, R. A. Andersen, and A. Emami, “Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces,” 2019 Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), 2019, Vancouver, Canada, (bioRxiv)

Paper link: https://www.biorxiv.org/content/biorxiv/early/2019/08/30/710327.full.pdf

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This is the implementation of DRNN in our paper "Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces", accepted at NeurIPS 2019

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