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Complex dynamics in one‐dimensional CNNs

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1097-007x(199601/02)24:1<37::aid-cta902>3.0.co;2-sopenalex-snapshot
A SPECTRAL APPROACH TO THE STUDY OF PROPAGATION PHENOMENA IN CNNs
inferredcites →https://doi.org/10.1002/(sici)1097-007x(199707/08)25:4<279::aid-cta968>3.0.co;2-qopenalex-snapshot
Analysis of periodic oscillations in finite-dimensional CNNs through a spatio–temporal harmonic balance technique
inferredcites →https://doi.org/10.1002/cta.4490200506openalex-snapshot
On the universe of stable cellular neural networks
inferredcites →https://doi.org/10.1002/cta.4490230204openalex-snapshot
Global dynamic behaviour of a three‐cell connected component detector cnn
inferredcites →https://doi.org/10.1007/978-3-642-60044-9openalex-snapshot
Cellular Neural Networks
inferredcites →https://doi.org/10.1103/revmodphys.57.617openalex-snapshot
Ergodic theory of chaos and strange attractors
inferredcites →https://doi.org/10.1109/31.101272openalex-snapshot
Stability of a class of nonreciprocal cellular neural networks
inferredcites →https://doi.org/10.1109/31.135755openalex-snapshot
A chaotic attractor with cellular neural networks
inferredcites →https://doi.org/10.1109/31.7600openalex-snapshot
Cellular neural networks: theory
inferredcites →https://doi.org/10.1109/31.81867openalex-snapshot
Stability of cellular neural networks with opposite-sign templates
inferredcites →https://doi.org/10.1109/81.222797openalex-snapshot
Bifurcation and chaos in cellular neural networks
inferredcites →https://doi.org/10.1109/81.222802openalex-snapshot
Influence of boundary conditions on the behavior of cellular neural network
inferredcites →https://doi.org/10.1109/81.251826openalex-snapshot
Strange attractors in delayed cellular neural networks
inferredcites →https://doi.org/10.1109/81.311541openalex-snapshot
Stability of cellular neural networks and delayed cellular neural networks with nonpositive templates and nonmonotonic output functions
inferredcites →https://doi.org/10.1109/81.563629openalex-snapshot
A more rigorous proof of complete stability of cellular neural networks
inferredcites →https://doi.org/10.1109/81.703843openalex-snapshot
On the complete stability of nonsymmetric cellular neural networks
inferredcites →https://doi.org/10.1109/81.704819openalex-snapshot
An approach to information propagation in 1-D cellular neural networks-Part I: Local diffusion
inferredcites →https://doi.org/10.1109/81.704820openalex-snapshot
An approach to information propagation in 1-D cellular neural networks. II. Global propagation
inferredcites →https://doi.org/10.1109/81.852930openalex-snapshot
Stability of 1-D-CNN's with Dirichlet boundary conditions and global propagation dynamics
inferredcites →https://doi.org/10.1109/81.989168openalex-snapshot
Complex dynamic phenomena in space-invariant cellular neural networks
inferredcites →https://doi.org/10.1109/iscas.2003.1205088openalex-snapshot
On the effect of boundary conditions on CNN dynamics: stability and instability, bifurcation processes and chaotic phenomena
inferredcites →https://doi.org/10.1109/tcsi.2002.800481openalex-snapshot
Existence and characterization of limit cycles in nearly symmetric neural networks
inferredcites →https://doi.org/10.1109/tcsi.2003.811022openalex-snapshot
New spatial-temporal patterns and the first programmable on-chip bifurcation test bed
inferredcites →https://doi.org/10.1142/s0218126603000957openalex-snapshot
BIFURCATIONS AND CHAOS IN CELLULAR NEURAL NETWORKS
inferredcites →https://doi.org/10.1142/s0218127400000852openalex-snapshot
BIFURCATIONS AND OSCILLATORY BEHAVIOR IN A CLASS OF COMPETITIVE CELLULAR NEURAL NETWORKS
inferredcites →https://doi.org/10.1142/s0218127402005133openalex-snapshot
COMPLEX DYNAMICS IN NEARLY SYMMETRIC THREE-CELL CELLULAR NEURAL NETWORKS

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inferred← citeshttps://doi.org/10.1002/cta.513openalex-snapshot
Toward an autonomous platform for spatio‐temporal EEG‐signal analysis based on cellular nonlinear networks
inferred← citeshttps://doi.org/10.1002/cta.523openalex-snapshot
Global robust stability of interval delayed neural networks: Modified approach
inferred← citeshttps://doi.org/10.1002/cta.567openalex-snapshot
The winnerless competition paradigm in cellular nonlinear networks: Models and applications
inferred← citeshttps://doi.org/10.1016/j.neunet.2007.12.015openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.nonrwa.2010.05.007openalex-snapshot
Sufficient conditions for one-dimensional cellular neural networks to perform connected component detection
inferred← citeshttps://doi.org/10.1109/cnna.2010.5430264openalex-snapshot
Analysis of signal propagation in 1-D CNNs with the antisymmetric template
inferred← citeshttps://doi.org/10.1109/iccis.2008.4670769openalex-snapshot
A neural network approach for creating a NTC thermistor model library for PSPICE
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Renewable Energy-Aware Big Data Analytics in Geo-Distributed Data Centers with Reinforcement Learning
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