Global dynamics of neural nets with infinite gain

DOI10.1016/S0167-2789(00)00129-9zbMath0984.92004OpenAlexW2108174711MaRDI QIDQ5940289

Tomáš Gedeon

Publication date: 12 May 2002

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-2789(00)00129-9

zbMATH Keywords

neural networksgene networksglobal dynamicshypercube graphstrongly connected components of oriented graphs

Mathematics Subject Classification ID

Applications of graph theory (05C90) Learning and adaptive systems in artificial intelligence (68T05) Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items

Geometric properties of a class of piecewise affine biological network models ⋮ State transition graph and stability of singular equilibria for piecewise linear biological models ⋮ Links between topology of the transition graph and limit cycles in a two-dimensional piecewise affine biological model

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Morse decompositions for delay-differential equations
• Competition, decision, and consensus
• Stable oscillations in mathematical models of biological control systems
• Structure of the global attractor of cyclic feedback systems
• A class of convergent neural network dynamics
• Chaos in high-dimensional neural and gene networks
• Zeta functions, periodic trajectories, and the Conley index
• Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks
• Neurons with graded response have collective computational properties like those of two-state neurons.

This page was built for publication: Global dynamics of neural nets with infinite gain