An associative memory that can form hypotheses: A phase-coded neural network
type: Item
instance of: scholarly article
title: An associative memory that can form hypotheses: A phase-coded neural network
zbMATH Open document ID: 0825.92009
DOI: 10.1007/BF00205976
author: Niels Kunstmann
author: Claus Hillermeier
author: Bernhard Rabus
author: Paul Tavan
published in: Biological Cybernetics
publication date: 1995-11-28T00:00:00Z
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 734734
Wikidata QID: Q113909785
MaRDI profile type: Publication
cites work: Modeling Brain Function
cites work: Q4403756
cites work: A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking
cites work: Topological feature maps with self-organized lateral connections: A population-coded, one-layer model of associative memory
cites work: Neural networks and physical systems with emergent collective computational abilities.
cites work: Self-organization and associative memory
cites work: Q3335569
cites work: A model for neuronal oscillations in the visual cortex. I: Mean-field theory and derivation of the phase equations
cites work: A model for neuronal oscillations in the visual cortex. II: Phase description of the feature dependent synchronization
cites work: Self-organization of associative memory and pattern classification: Recurrent signal processing on topological feature maps
cites work: Q4092283
full work available at URL: https://doi.org/10.1007/bf00205976
OpenAlex ID: W2014208770
description: scientific article; zbMATH DE number 734734