Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction

15 Nov 2016 Yilin Song Jonathan Viventi Yao Wang

Being able to predict the neural signal in the near future from the current and previous observations has the potential to enable real-time responsive brain stimulation to suppress seizures. We have investigated how to use an auto-encoder model consisting of LSTM cells for such prediction... (read more)

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