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

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

6 November 2017

Srinivas C. Turaga

Jakob H. Macke

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

13 / 13 papers shown

Title
Single-neuron deep generative model uncovers underlying physics of neuronal activity in Ca imaging data Jordi Abante Angelo Piga Berta Ros Clara F López-León Josep Canals Jordi Soriano SyDa 47 0 0 24 Jan 2025
Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data Yubai Yuan Babak Shahbaba Norbert Fortin Keiland W Cooper Qing Nie Annie Qu 23 0 0 27 Jun 2024
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives Pierre-Alexandre Mattei J. Frellsen 29 4 0 26 Jan 2022
A zero-inflated gamma model for deconvolved calcium imaging traces Xue-Xin Wei Ding Zhou A. Grosmark Zaki Ajabi Fraser T. Sparks Pengcheng Zhou Mark P. Brandon A. Losonczy Liam Paninski SyDa 12 22 0 05 Jun 2020
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI J. Livezey Joshua I. Glaser AI4CE 16 9 0 19 May 2020
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging Andrew Warrington A. Spencer Frank D. Wood 11 2 0 24 Jul 2019
Teaching deep neural networks to localize single molecules for super-resolution microscopy Artur Speiser Lucas-Raphael Müller Ulf Matti Christopher J. Obara Wesley R. Legant Jonas Ries Jakob H. Macke Srinivas C. Turaga 11 17 0 27 Jun 2019
Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data Daniel Jiwoong Im Sridhama Prakhya Jinyao Yan Srinivas C. Turaga K. Branson BDL 13 2 0 07 Jun 2019
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference C. Hurwitz Kai Xu Akash Srivastava A. Buccino Matthias H Hennig DRL 13 15 0 29 May 2019
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 17 110 0 31 Oct 2018
Discrete flow posteriors for variational inference in discrete dynamical systems Laurence Aitchison Vincent Adam Srinivas C. Turaga BDL DRL 13 4 0 28 May 2018
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM German Abrevaya Irina Rish Aleksandr Aravkin Guillermo Cecchi James Kozloski Pablo Polosecki P. Zheng S. Dawson Juliana Rhee David Cox 24 2 0 24 May 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 239 2,547 0 25 Jan 2016