Associative recognition and storage in a model network of physiological neurons

DOI10.1007/BF00318428zbMath0591.92010WikidataQ48397650 ScholiaQ48397650MaRDI QIDQ1075263

Klaus Schulten, Joachim M. Buhmann

Publication date: 1986

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

zbMATH Keywords

coupling constantneural network modelmean field approximationneurophysiologysynapsesbrain modellingcell potentialsHebbian rulesneural sensitivity

Mathematics Subject Classification ID

Related Items (7)

The three-loop model: A neural network for the generation of saccadic reaction times ⋮ A cognitive and associative memory ⋮ Universality in neural networks: The importance of the mean firing rate ⋮ Categorization ability in a biologically motivated neural network ⋮ A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking ⋮ Influence of noise on the function of a physiological neural network ⋮ Two neuron dynamics and adiabatic elimination

Cites Work

• Self-organization and associative memory
• On associative memory
• The existence of persistent states in the brain
• Collective properties of neural networks: A statistical physics approach
• Analysis of Parallel-Line Assays with Multivariate Responses
• Neural networks and physical systems with emergent collective computational abilities.
• Neurons with graded response have collective computational properties like those of two-state neurons.

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