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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

3 September 2023
Andrew R. Sedler
C. Pandarinath
ArXivPDFHTML

Papers citing "lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems"

5 / 5 papers shown
Title
A scalable generative model for dynamical system reconstruction from
  neuroimaging data
A scalable generative model for dynamical system reconstruction from neuroimaging data
Eric Volkmann
Alena Brändle
Daniel Durstewitz
G. Koppe
AI4CE
28
1
0
05 Nov 2024
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Ayesha Vermani
Josue Nassar
Hyungju Jeon
Matthew Dowling
Il Memming Park
26
1
0
07 Oct 2024
Diffusion-Based Generation of Neural Activity from Disentangled Latent
  Codes
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
Jonathan D. McCart
Andrew R. Sedler
Christopher Versteeg
Domenick M. Mifsud
Mattia Rigotti-Thompson
C. Pandarinath
DiffM
SyDa
23
1
0
30 Jul 2024
When predict can also explain: few-shot prediction to select better neural latents
When predict can also explain: few-shot prediction to select better neural latents
Kabir Dabholkar
Omri Barak
BDL
47
0
0
23 May 2024
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
1