Publications (23)
Bayesian spike inference from calcium imaging data
Eftychios A. Pnevmatikakis, Josh Merel, Ari Pakman +1
A structured matrix factorization framework for large scale calcium imaging data analysis
Eftychios A. Pnevmatikakis, Yuanjun Gao, Daniel Soudry +6
Fast inference in generalized linear models via expected log-likelihoods
Alexandro D. Ramirez, Liam Paninski
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions
Ari Pakman, Liam Paninski
Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data
E. Kelly Buchanan, Ian Kinsella, Ding Zhou +17
Efficient methods for sampling spike trains in networks of coupled neurons
Yuriy Mishchenko, Liam Paninski
Fast non-negative deconvolution for spike train inference from population calcium imaging
Joshua T. Vogelstein, Adam M. Packer, Tim A. Machado +4
Partition Functions from Rao-Blackwellized Tempered Sampling
David Carlson, Patrick Stinson, Ari Pakman +1
Stochastic Bouncy Particle Sampler
Ari Pakman, Dar Gilboa, David Carlson +1
Linear dynamical neural population models through nonlinear embeddings
Yuanjun Gao, Evan Archer, Liam Paninski +1
Automated scalable segmentation of neurons from multispectral images
Uygar Sümbül, Douglas Roussien, Fei Chen +5
Fast Online Deconvolution of Calcium Imaging Data
Johannes Friedrich, Pengcheng Zhou, Liam Paninski
Black box variational inference for state space models
Evan Archer, Il Memming Park, Lars Buesing +2
Recurrent switching linear dynamical systems
Scott W. Linderman, Andrew C. Miller, Ryan P. Adams +3
Robust and scalable Bayesian analysis of spatial neural tuning function data
Kamiar Rahnama Rad, Timothy A. Machado, Liam Paninski
Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians
Ari Pakman, Liam Paninski
Amortized Bayesian inference for clustering models
Ari Pakman, Liam Paninski
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Scott W. Linderman, Gonzalo E. Mena, Hal Cooper +2
Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data
Pengcheng Zhou, Shanna L. Resendez, Jose Rodriguez-Romaguera +8
Bayesian methods for event analysis of intracellular currents
Josh Merel, Ben Shababo, Alex Naka +2
A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data
Yuriy Mishchencko, Joshua T. Vogelstein, Liam Paninski
A shotgun sampling solution for the common input problem in neural connectivity inference
Daniel Soudry, Suraj Keshri, Patrick Stinson +3
Neuroprosthetic decoder training as imitation learning
Josh Merel, David Carlson, Liam Paninski +1