Evan W Archer — accepted AI-conference papers

2017

Fast amortized inference of neural activity from calcium imaging data with variational autoencoders

Artur Speiser, Jinyao Yan, Evan W Archer, Lars Buesing, Srinivas C. Turaga, Jakob H Macke

NeurIPS 2017spotlight

Calcium imaging permits optical measurement of neural activity. Since intracellular calcium concentration is an indirect measurement of neural activity, computational tools are necessary to infer the true underlying spiking activity from fluorescence measurements. Bayesian model inversion can be use…

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2016

Linear dynamical neural population models through nonlinear embeddings

Yuanjun Gao, Evan W Archer, Liam Paninski, John P. Cunningham

NeurIPS 2016poster

A body of recent work in modeling neural activity focuses on recovering low- dimensional latent features that capture the statistical structure of large-scale neural populations. Most such approaches have focused on linear generative models, where inference is computationally tractable. Here, we pro…

Cited by 205 Source ↗PDF ↗code ↗Scholar ↗