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Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems

Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems

6 July 2022
Manuela Brenner
Florian Hess
Jonas M. Mikhaeil
Leonard Bereska
Zahra Monfared
Po-Chen Kuo
Daniel Durstewitz
    AI4CE
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Papers citing "Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems"

4 / 4 papers shown
Title
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Manuel Brenner
Elias Weber
G. Koppe
Daniel Durstewitz
AI4TS
AI4CE
19
2
0
07 Oct 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
23
4
0
24 Sep 2024
Inferring stochastic low-rank recurrent neural networks from neural data
Inferring stochastic low-rank recurrent neural networks from neural data
Matthijs Pals
A Erdem Sağtekin
Felix Pei
Manuel Gloeckler
Jakob H Macke
34
6
0
24 Jun 2024
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
126
219
0
29 Sep 2019
1