1 citations · 3 across the 3 of their papers we have counts for
3 papers
q-bio.NC2017★ 1 cited
Unsupervised Learning of Spike Patterns for Seizure Detection and Wavefront Estimation of High Resolution Micro Electrocorticographic (μECoG) Data
Yilin Song, Jonathan Viventi, Yao Wang
For the past few years, we have developed flexible, active, multiplexed recording devices for high resolution recording over large, clinically relevant areas in the brain. While th…
cs.CV2017★ 1 cited
Multi Resolution LSTM For Long Term Prediction In Neural Activity Video
Yilin Song, Jonathan Viventi, Yao Wang
Epileptic seizures are caused by abnormal, overly syn- chronized, electrical activity in the brain. The abnor- mal electrical activity manifests as waves, propagating across the br…
cs.CV2016★ 1 cited
Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction
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…