2017. 8. 25. Weekly research update

Hyunsu Lee
Aug 25, 2017 · 1 min read
  1. EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks [https://arxiv.org/abs/1708.06578] : input EEG -> output simple behavior(eye close, hand grasp). Consider the EEG has spatio-temporal data. Used CNN — FC — RNN(LSTM) and showed 99% accuracy.
  2. Distortion Distribution of Neural Spike Train Sequence Matching with Optogenetics [https://arxiv.org/abs/1708.06641]: Optogenetics implementation to train the neural spike pattern.
  3. Intonational speech prosody encoding in the human auditory cortex [http://science.sciencemag.org/content/357/6353/797?utm_campaign=toc_sci-mag_2017-08-24&et_rid=34829324&et_cid=1509313] : Intonation play a important role on speech recognition. Could it be implemented to ML architecture?

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Hyunsu Lee

Written by

MD. PhD. Researching Electrophysiology and Neuroscience. Teaching Anatomy. Learning Machine learning.

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