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Deep inference of latent dynamics with spatio-temporal super-resolution
  using selective backpropagation through time

Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time

29 October 2021
Feng Zhu
Andrew R. Sedler
Harrison A. Grier
Nauman Ahad
Mark A. Davenport
Matthew T. Kaufman
Andrea Giovannucci
C. Pandarinath
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Papers citing "Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time"

6 / 6 papers shown
Title
lfads-torch: A modular and extensible implementation of latent factor
  analysis via dynamical systems
lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems
Andrew R. Sedler
C. Pandarinath
17
7
0
03 Sep 2023
Low Tensor Rank Learning of Neural Dynamics
Low Tensor Rank Learning of Neural Dynamics
Arthur Pellegrino
Alex Cayco-Gajic
Angus Chadwick
11
5
0
22 Aug 2023
STNDT: Modeling Neural Population Activity with a Spatiotemporal
  Transformer
STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer
Trung Le
Eli Shlizerman
17
22
0
09 Jun 2022
Capturing cross-session neural population variability through
  self-supervised identification of consistent neuron ensembles
Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles
Justin Jude
M. Perich
L. Miller
Matthias H Hennig
19
3
0
19 May 2022
Neural Latents Benchmark '21: Evaluating latent variable models of
  neural population activity
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity
Felix Pei
Joel Ye
D. Zoltowski
Anqi Wu
Raeed H. Chowdhury
...
L. Miller
Jonathan W. Pillow
Il Memming Park
Eva L. Dyer
C. Pandarinath
42
86
0
09 Sep 2021
Spectral Filtering for General Linear Dynamical Systems
Spectral Filtering for General Linear Dynamical Systems
Elad Hazan
Holden Lee
Karan Singh
Cyril Zhang
Yi Zhang
40
97
0
12 Feb 2018
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