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Inferring stochastic low-rank recurrent neural networks from neural data

Inferring stochastic low-rank recurrent neural networks from neural data

24 June 2024
Matthijs Pals
A Erdem Sağtekin
Felix Pei
Manuel Gloeckler
Jakob H Macke
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Papers citing "Inferring stochastic low-rank recurrent neural networks from neural data"

5 / 5 papers shown
Title
Modeling Neural Activity with Conditionally Linear Dynamical Systems
Modeling Neural Activity with Conditionally Linear Dynamical Systems
Victor Geadah
Amin Nejatbakhsh
David Lipshutz
Jonathan W. Pillow
Alex H. Williams
AI4CE
33
0
0
25 Feb 2025
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo
  Samplers
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers
Johannes Zenn
Robert Bamler
22
3
0
27 Apr 2023
Resurrecting Recurrent Neural Networks for Long Sequences
Resurrecting Recurrent Neural Networks for Long Sequences
Antonio Orvieto
Samuel L. Smith
Albert Gu
Anushan Fernando
Çağlar Gülçehre
Razvan Pascanu
Soham De
83
258
0
11 Mar 2023
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Manuela Brenner
Florian Hess
Jonas M. Mikhaeil
Leonard Bereska
Zahra Monfared
Po-Chen Kuo
Daniel Durstewitz
AI4CE
27
29
0
06 Jul 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
1