Dual Information Representation with Stable Firing Rates and Chaotic Spatiotemporal Spike Patterns in a Neural Network Model

DOI10.1162/089976601317098538zbMath1004.92007OpenAlexW2066703464WikidataQ48713959 ScholiaQ48713959MaRDI QIDQ2770868

Kazuyuki Aihara, Osamu Araki

Publication date: 16 February 2003

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

Full work available at URL: https://doi.org/10.1162/089976601317098538

zbMATH Keywords

integrate and firecoding systeminformation representation

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (4)

Ergodicity of Spike Trains: When Does Trial Averaging Make Sense? ⋮ Self-Organizing Dual Coding Based on Spike-Time-Dependent Plasticity ⋮ Duality of Rate Coding and Temporal Coding in Multilayered Feedforward Networks ⋮ STDP Provides the Substrate for Igniting Synfire Chains by Spatiotemporal Input Patterns

Cites Work

• Associative dynamics in a chaotic neural network.
• Chaos and asymptotical stability in discrete-time neural networks
• Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
• Dynamics of functional coupling in the cerebral cortex: An attempt at a model-based interpretation
• Dynamical cell assembly hypothesis -- Theoretical possibility of spatio-temporal coding in the cortex
• Strange attractors in chaotic neural networks
• Intracortical connectivity of pyramidal and stellate cells: estimates of synaptic densities and coupling symmetry
• Global searching ability of chaotic neural networks
• On a response characteristic of a mathematical neuron model

This page was built for publication: Dual Information Representation with Stable Firing Rates and Chaotic Spatiotemporal Spike Patterns in a Neural Network Model