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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
Artur Speiser
Jinyao Yan
Evan Archer
Lars Buesing
Srinivas C. Turaga
Jakob H. Macke
    BDL
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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
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
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
21
0
0
27 Jun 2024
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo
  Objectives
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
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
10
22
0
05 Jun 2020
Deep learning approaches for neural decoding: from CNNs to LSTMs and
  spikes to fMRI
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
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
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
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
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference
C. Hurwitz
Kai Xu
Akash Srivastava
A. Buccino
Matthias H Hennig
DRL
11
15
0
29 May 2019
Analyzing biological and artificial neural networks: challenges with
  opportunities for synergy?
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
David Barrett
Ari S. Morcos
Jakob H. Macke
AI4CE
15
110
0
31 Oct 2018
Discrete flow posteriors for variational inference in discrete dynamical
  systems
Discrete flow posteriors for variational inference in discrete dynamical systems
Laurence Aitchison
Vincent Adam
Srinivas C. Turaga
BDL
DRL
11
4
0
28 May 2018
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM
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
22
2
0
24 May 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,547
0
25 Jan 2016
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