A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements

23 December 2016

Papers citing "A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements"

20 / 20 papers shown

Title
BRAID: Input-Driven Nonlinear Dynamical Modeling of Neural-Behavioral Data Parsa Vahidi Omid G. Sani Maryam M. Shanechi AI4CE 132 6 0 23 Sep 2025
POCO: Scalable Neural Forecasting through Population Conditioning Yu Duan Hamza Tahir Chaudhry Misha B. Ahrens Christopher D Harvey Matthew G Perich Karl Deisseroth Kanaka Rajan AI4CE 149 2 0 17 Jun 2025
Uncovering the Functional Roles of Nonlinearity in Memory Manuel Brenner G. Koppe 171 0 0 09 Jun 2025
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Christoph Jürgen Hemmer Daniel Durstewitz AI4TS SyDa AI4CE 523 3 0 19 May 2025
A scalable generative model for dynamical system reconstruction from neuroimaging dataNeural Information Processing Systems (NeurIPS), 2024 Eric Volkmann Alena Brändle Daniel Durstewitz G. Koppe AI4CE 172 5 0 05 Nov 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems ReconstructionNeural Information Processing Systems (NeurIPS), 2024 Manuel Brenner Christoph Jürgen Hemmer Zahra Monfared Daniel Durstewitz AI4CE 149 7 0 18 Oct 2024
Inferring stochastic low-rank recurrent neural networks from neural data Matthijs Pals A Erdem Sağtekin Felix Pei Manuel Gloeckler Jakob H Macke 751 17 0 24 Jun 2024
Optimal Recurrent Network Topologies for Dynamical Systems ReconstructionInternational Conference on Machine Learning (ICML), 2024 Christoph Jürgen Hemmer Manuel Brenner Florian Hess Daniel Durstewitz 222 5 0 07 Jun 2024
A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models Sacha Sokoloski 184 1 0 30 Apr 2024
Learning Time-Invariant Representations for Individual Neurons from Population DynamicsNeural Information Processing Systems (NeurIPS), 2023 Lu Mi Trung Le Tianxing He Eli Shlizerman U. Sümbül 145 9 0 03 Nov 2023
Generalized Teacher Forcing for Learning Chaotic DynamicsInternational Conference on Machine Learning (ICML), 2023 Florian Hess Zahra Monfared Manuela Brenner Daniel Durstewitz AI4CE 372 50 0 07 Jun 2023
Discovering Causal Relations and Equations from DataPhysics reports (Phys. Rep.), 2023 Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 214 106 0 21 May 2023
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical SystemsInternational Conference on Machine Learning (ICML), 2022 Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 402 40 0 06 Jul 2022
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time SeriesInternational Conference on Machine Learning (ICML), 2021 Daniel Kramer P. Bommer Carlo Tombolini G. Koppe Daniel Durstewitz BDL AI4TS AI4CE 256 23 0 04 Nov 2021
Building population models for large-scale neural recordings: opportunities and pitfallsCurrent Opinion in Neurobiology (Curr Opin Neurobiol), 2021 C. Hurwitz N. Kudryashova A. Onken Matthias H Hennig 202 42 0 03 Feb 2021
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes Manuel Haussmann S. Gerwinn Andreas Look Barbara Rakitsch M. Kandemir 278 18 0 17 Jun 2020
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systemsJournal of Computational Physics (JCP), 2019 Sebastian Kaltenbach P. Koutsourelakis AI4CE 407 37 0 30 Dec 2019
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies Dominik Schmidt G. Koppe Zahra Monfared Max Beutelspacher Daniel Durstewitz AI4CE 224 7 0 08 Oct 2019
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI G. Koppe Hazem Toutounji P. Kirsch S. Lis Daniel Durstewitz MedIm 174 87 0 19 Feb 2019
Physics-constrained, data-driven discovery of coarse-grained dynamics L. Felsberger P. Koutsourelakis AI4CE 162 20 0 11 Feb 2018