A cognitive and associative memory

DOI10.1007/BF00364151zbMath0633.92007WikidataQ43652799 ScholiaQ43652799MaRDI QIDQ1096559

Shigeru Shinomoto

Publication date: 1987

Published in: Biological Cybernetics (Search for Journal in Brave)

zbMATH Keywords

bifurcationHopfield modelsynaptic couplingauto-correlation matrix memoryCognitive ability of memoryDale's principle of similarity of synapsesexcitatory neuronsidentification of input patternsinhibitory neuronsMcCulloch- Pitts model

Mathematics Subject Classification ID

Psychophysics and psychophysiology; perception (91E30) Physiological, cellular and medical topics (92Cxx)

Related Items (5)

Dynamics and bifurcations of two coupled neural oscillators with different connection types ⋮ The connectivity of the brain: multi-level quantitative analysis ⋮ A model for neuronal oscillations in the visual cortex. I: Mean-field theory and derivation of the phase equations ⋮ Stochastic analyses of the dynamics of generalized Little-Hopfield-Hemmen type neural networks ⋮ A model of cortical memory processing based on columnar organization

Cites Work

• Self-organization and associative memory
• A hierarchical neural network model for associative memory
• Associative recognition and storage in a model network of physiological neurons
• A neural network model for selective attention in visual pattern recognition
• A biologically constrained learning mechanism in networks of formal neurons
• Neural theory of association and concept-formation
• Analytic study of the memory storage capacity of a neural network
• The existence of persistent states in the brain
• A simple neural network generating an interactive memory
• Stochastic Dynamics of Neural Networks
• Neural networks and physical systems with emergent collective computational abilities.
• Neurons with graded response have collective computational properties like those of two-state neurons.
• Correlation Matrix Memories

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