Correlation memory models - a first approximation in a general learning scheme

DOI10.1007/BF00326691zbMath0309.92018OpenAlexW1967861274WikidataQ52246940 ScholiaQ52246940MaRDI QIDQ1219225

E. Pfaffelhuber

Publication date: 1975

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

Full work available at URL: https://doi.org/10.1007/bf00326691

Mathematics Subject Classification ID

Stochastic systems and control (93E99) Stationary stochastic processes (60G10) Mathematical psychology (91E99)

Related Items

On associative memory, A model for learning and imprinting with finite and infinite memory range, On optimal nonlinear associative recall, On the stochastic dynamics of neuronal interaction, Neural theory of association and concept-formation

Cites Work

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• Über ein Problem der stochastischen Approximation und ein Matrixsummierungsverfahren für Zahlenfolgen
• Adaption and learning in automatic systems. Translated by Z. J. Nikolic
• A simple neural network generating an interactive memory
• Foundations of the theory of learning systems. Translated by Z. J. Nikolic
• Die Lernmatrix
• Generalized harmonic analysis for distributions
• Convolution and correlation algebras
• The Eigenfunctions of Laplace's Tidal Equations over a Sphere
• Correlation Matrix Memories
• A neuron model with learning capability and its relation to mechanisms of association
• A model for learning and imprinting with finite and infinite memory range
• Learning and imprinting in stationary and non-stationary environment