Cover Image

Exploring the origins of switching dynamics in a multifunctional reservoir computer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Flynn, Andrew, Amann, Andreas
Format:	Preprint
Published:	2024
Subjects:	Dynamical Systems Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How more data can hurt: Instability and regularization in next-generation reservoir computing
by: Zhang, Yuanzhao, et al.
Published: (2024)

Parametric Taylor series based latent dynamics identification neural networks
by: Lin, Xinlei, et al.
Published: (2024)

An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas
by: Li, Yang, et al.
Published: (2024)

Physics-Informed Echo State Networks for Modeling Controllable Dynamical Systems
by: Mochiutti, Eric, et al.
Published: (2024)

The Influence of the Memory Capacity of Neural DDEs on the Universal Approximation Property
by: Kuehn, Christian, et al.
Published: (2025)

From Mean-Field Limits to Semiclassical Concentration: Global Convergence of the Canonical Evolutionary Strategy
by: Neto, Matías, et al.
Published: (2026)

Designing Chaotic Attractors: A Semi-supervised Approach
by: Kabayama, Tempei, et al.
Published: (2024)

Attractor-merging Crises and Intermittency in Reservoir Computing
by: Kabayama, Tempei, et al.
Published: (2025)

Can multivariate Granger causality detect directed connectivity of a multistable and dynamic biological decision network model?
by: Asadpour, Abdoreza, et al.
Published: (2024)

How noise affects memory in linear recurrent networks
by: Guan, JingChuan, et al.
Published: (2024)

Reconstruction of dynamic systems using genetic algorithms with dynamic search limits
by: Rodríguez-Abreo, Omar, et al.
Published: (2024)

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control
by: Farkane, Ayoub, et al.
Published: (2025)

Unified Long-Term Time-Series Forecasting Benchmark
by: Cyranka, Jacek, et al.
Published: (2023)

Controlling Chaotic Maps using Next-Generation Reservoir Computing
by: Kent, Robert M., et al.
Published: (2023)

Panda: A pretrained forecast model for chaotic dynamics
by: Lai, Jeffrey, et al.
Published: (2025)

Prediction performance of random reservoirs with different topology for nonlinear dynamical systems with different number of degrees of freedom
by: Rathor, Shailendra K., et al.
Published: (2025)

Reservoir computing with logistic map
by: Arun, R., et al.
Published: (2024)

Neuromorphic on-chip reservoir computing with spiking neural network architectures
by: Karki, Samip, et al.
Published: (2024)

Infinite-dimensional next-generation reservoir computing
by: Grigoryeva, Lyudmila, et al.
Published: (2024)

Linear Simple Cycle Reservoirs at the edge of stability perform Fourier decomposition of the input driving signals
by: Fong, Robert Simon, et al.
Published: (2024)

Analysis of the Geometric Structure of Neural Networks and Neural ODEs via Morse Functions
by: Kuehn, Christian, et al.
Published: (2024)

Symmetry-Protected Lyapunov Neutral Modes in Equivariant Recurrent Networks
by: Mo, Hanson Hanxuan
Published: (2026)

The boundary of neural network trainability is fractal
by: Sohl-Dickstein, Jascha
Published: (2024)

FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries
by: Tali, Ronak, et al.
Published: (2024)

Denoising and Reconstruction of Nonlinear Dynamics using Truncated Reservoir Computing
by: Sedehi, Omid, et al.
Published: (2025)

STONet: A neural operator for modeling solute transport in micro-cracked reservoirs
by: Haghighat, Ehsan, et al.
Published: (2024)

Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime
by: Abdel-Ghani, Hend, et al.
Published: (2025)

Equilibrium Propagation for Non-Conservative Systems
by: Scurria, Antonino Emanuele, et al.
Published: (2026)

Asymmetrically connected reservoir networks learn better
by: Rathor, Shailendra K., et al.
Published: (2024)

Oscillations enhance time-series prediction in reservoir computing with feedback
by: Kawai, Yuji, et al.
Published: (2024)

Scalable neuromorphic computing from autonomous spiking dynamics in a clockless reconfigurable chip
by: Gomes, Eric Oliveira, et al.
Published: (2026)

Universality of reservoir systems with recurrent neural networks
by: Yasumoto, Hiroki, et al.
Published: (2024)

Proposed modified computational model for the amoeba-inspired combinatorial optimization machine
by: Miyajima, Yusuke, et al.
Published: (2024)

Emergence of hybrid computational dynamics through reinforcement learning
by: Kononov, Roman A., et al.
Published: (2025)

Neural reservoir control of a soft bio-hybrid arm
by: Naughton, Noel, et al.
Published: (2025)

Global stability of a Hebbian/anti-Hebbian network for principal subspace learning
by: Lipshutz, David, et al.
Published: (2026)

Learning spatio-temporal patterns with Neural Cellular Automata
by: Richardson, Alex D., et al.
Published: (2023)

Random Features Hopfield Networks generalize retrieval to previously unseen examples
by: Kalaj, Silvio, et al.
Published: (2024)

Prototype Analysis in Hopfield Networks with Hebbian Learning
by: McAlister, Hayden, et al.
Published: (2024)

Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing
by: Castro, Bernard J. Giron, et al.
Published: (2023)