Cover Image

Suppression of chaos in a partially driven recurrent neural network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Takasu, Shotaro, Aoyagi, Toshio
Format:	Preprint
Published:	2023
Subjects:	Neurons and Cognition Disordered Systems and Neural Networks Chaotic Dynamics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neuronal correlations shape the scaling behavior of memory capacity and nonlinear computational capability of reservoir recurrent neural networks
by: Takasu, Shotaro, et al.
Published: (2025)

Chaotic synchronization in adaptive networks of pulse-coupled oscillators
by: Mato, German, et al.
Published: (2024)

Freezing chaos without synaptic plasticity
by: Huang, Weizhong, et al.
Published: (2025)

Sparse chaos in cortical circuits
by: Engelken, Rainer, et al.
Published: (2024)

Compact Dynamical Mean-Field Theory of Oscillator Networks
by: Reddy, Kanishka
Published: (2026)

Noise induced extreme events in single Fitzhugh-Nagumo oscillator
by: Hariharan, S., et al.
Published: (2025)

Hyperchaos and complex dynamical regimes in $N$-dimensional neuron lattices
by: Le, Brandon B., et al.
Published: (2025)

Fluctuation-dissipation of the Kuramoto model on fruit-fly connectomes
by: Ódor, Géza, et al.
Published: (2025)

Hierarchy of chaotic dynamics in random modular networks
by: Kuśmierz, Łukasz, et al.
Published: (2024)

Linear equivalence of nonlinear recurrent neural networks
by: Clark, David G.
Published: (2026)

Network reconstruction may not mean dynamics prediction
by: Yu, Zhendong, et al.
Published: (2024)

Solution of a large nonlinear recurrent neural network at fixed connectivity
by: Wakhloo, Albert J.
Published: (2026)

Harnessing and modulating chaos to sample from neural generative models
by: Chaudhuri, Rishidev, et al.
Published: (2024)

Coherent oscillations in balanced neural networks driven by endogenous fluctuations
by: Di Volo, Matteo, et al.
Published: (2021)

Structure of activity in multiregion recurrent neural networks
by: Clark, David G., et al.
Published: (2024)

Connectivity structure and dynamics of nonlinear recurrent neural networks
by: Clark, David G., et al.
Published: (2024)

Synaptic plasticity alters the nature of chaos transition in neural networks
by: Du, Wenkang, et al.
Published: (2024)

Discontinuous transition to chaos in a canonical random neural network
by: Pazó, Diego
Published: (2024)

Applications of information geometry to spiking neural network behavior
by: Crosser, Jacob T., et al.
Published: (2023)

A robust balancing mechanism for spiking neural networks
by: Politi, Antonio, et al.
Published: (2024)

On the synaptic matrix eigenvalues of sparsely connected neural networks
by: Ansari, Mohd. Gayas, et al.
Published: (2026)

Covariance spectrum in nonlinear recurrent neural networks
by: Shen, Xuanyu, et al.
Published: (2025)

Task learning through stimulation-induced plasticity in neural networks
by: Borra, Francesco, et al.
Published: (2024)

Coexistence of asynchronous and clustered dynamics in noisy inhibitory neural networks
by: Feld, Yannick, et al.
Published: (2024)

Discrete synaptic events induce global oscillations in balanced neural networks
by: Goldobin, Denis S., et al.
Published: (2023)

Synaptic shot-noise triggers fast and slow global oscillations in balanced neural networks
by: Goldobin, Denis S., et al.
Published: (2025)

Tricritical behavior in a neural model with excitatory and inhibitory units
by: Almeira, Joaquin, et al.
Published: (2022)

Theory of enhanced-by-coincidence neural information transmission
by: Ibáñez-Berganza, Miguel, et al.
Published: (2025)

Emergent oscillations and chaos in non-compliant microfluidic networks
by: Shao, Yanxuan, et al.
Published: (2025)

Spatio-temporal activity patterns induced by triadic interactions in an in silico neural medium
by: Millán, Ana P., et al.
Published: (2024)

Statistical mechanics for networks of real neurons
by: Meshulam, Leenoy, et al.
Published: (2024)

The dynamics of neural codes in biological and artificial neural networks
by: Morales, Guillermo B.
Published: (2024)

Responses to transient perturbation can distinguish intrinsic from latent criticality in spiking neural populations
by: Crosser, Jacob T., et al.
Published: (2025)

A Dynamical Theory of Sequential Retrieval in Input-Driven Hopfield Networks
by: Betteti, Simone, et al.
Published: (2026)

Metastability in networks of nonlinear stochastic integrate-and-fire neurons
by: Paliwal, Siddharth, et al.
Published: (2024)

Mechanisms underlying the response of mouse cortical networks to optogenetic manipulation
by: Mahrach, Alexandre, et al.
Published: (2019)

Global and local synchrony of coupled neurons in small-world networks
by: Masuda, Naoki, et al.
Published: (2024)

Self-consistent stochastic dynamics for finite-size networks of spiking neurons
by: Vinci, Gianni V., et al.
Published: (2021)

Sparse Edge Encoder (SEE): I. Visual recognition in neuronal networks
by: Lin, Chia-Ying, et al.
Published: (2022)

Kinetic energy in random recurrent neural networks
by: Zhang, Li-Ru, et al.
Published: (2025)