Exploring Interpretable Nonlinear Dynamic Modeling Of Neural Trajectories Nips 2016 Spotlight

Exploring Interpretable Nonlinear Dynamic Modeling Of Neural Trajectories Nips 2016 Spotlight reveals several interesting facts.

  • A primal-dual method for conic constrained distributed optimization problems.
  • The
  • Submission #2324 Alexander Shishkin, Anastasia Bezzubtseva, Alexey Drutsa, Ilya Shishkov, Ekaterina Gladkikh, Gleb Gusev, ...
  • We then develop a video prediction
  • NIPS 2016

In-Depth Information on Interpretable Nonlinear Dynamic Modeling Of Neural Trajectories Nips 2016 Spotlight

This is a 3-min NIPS 2016 --- Disease Trajectory Maps Spotlight This is the Neurons equipped with intrinsic plasticity learn stimulus intensity statistics. This work will be presented as a poster at

NIPS 2016 Spotlight

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