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An Efficient and Flexible Spike Train Model via Empirical Bayes

10 May 2016

Papers citing "An Efficient and Flexible Spike Train Model via Empirical Bayes"

4 / 4 papers shown

Title
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks Qi She Anqi Wu BDL 37 34 0 01 Jul 2019
Linear dynamical neural population models through nonlinear embeddings Yuanjun Gao Evan Archer Liam Paninski John P. Cunningham 70 155 0 26 May 2016
Discovering Latent Network Structure in Point Process Data Scott W. Linderman Ryan P. Adams 91 283 0 04 Feb 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 169 4,309 0 18 Nov 2011