YangWangsky / tf_EEGLearn

A tensorflow implementation for EEGLearn

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tf_EEGLearn

All implementations are not guaranteed to be correct, have not been checked by original authors, only reimplemented from the paper description and open source code from original authors.

Prerequisites

  • python >= 3.5
  • tensorflow-gpu >= 1.2
    • conda install tensorflow-gpu=1.2
  • Numpy
  • Scipy
  • Scikit-learn

EEGLearn

It's a tensorflow implementation for EEGLearn

Bashivan, et al. "Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks." International conference on learning representations (2016).
http://arxiv.org/abs/1511.06448

For more information please see https://github.com/pbashivan/EEGLearn

Diagram

AEP

Leave-one-subject-out Experments

Model: EEGLearn

Subject id S0 S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12 mean
CNN test acc 55.14 73.58 93.47 100.00 100.00 99.50 99.48 100.00 98.57 100.00 98.62 72.25 49.55 87.70

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A tensorflow implementation for EEGLearn

License:MIT License


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Language:Python 100.0%