A Geometrical Analysis of Global Stability in Trained Feedback Networks

DOI10.1162/neco_a_01187zbMath1471.93098arXiv1809.02386OpenAlexW2889608198WikidataQ93062152 ScholiaQ93062152MaRDI QIDQ5154170

Francesca Mastrogiuseppe, Srdjan Ostojic

Publication date: 1 October 2021

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1809.02386

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Feedback control (93B52) Networked control (93B70)

Related Items (2)

The echo index and multistability in input-driven recurrent neural networks ⋮ Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks

Uses Software

• ImageNet
• AlexNet

Cites Work

• Erratum to: Outliers in the spectrum of iid matrices with bounded rank perturbations
• Mean-field equations, bifurcation map and route to chaos in discrete time neural networks
• Discrete time recurrent neural network architectures: A unifying review
• Recursive least-squares identification algorithms with incomplete excitation: convergence analysis and application to adaptive control
• Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks
• Neural networks and physical systems with emergent collective computational abilities.
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• Unnamed Item

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