Rectification of correlation by a sigmoid nonlinearity

DOI10.1007/BF00197602zbMath0787.92009OpenAlexW2085268266MaRDI QIDQ1315268

George L. Gerstein, Purvis Bedenbaugh

Publication date: 19 May 1994

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

Full work available at URL: https://doi.org/10.1007/bf00197602

zbMATH Keywords

sigmoidmeanvariancespike trainsparameter sensitivityneural network modelssaturation regioninput correlation coefficientnon-zero mean Gaussian noise inputnormalized autocovarianceoutput correlation coefficient

Mathematics Subject Classification ID

Neural biology (92C20)

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• Self-organization and associative memory
• Stochastic formulation of neural interaction
• The existence of persistent states in the brain
• A useful theorem for nonlinear devices having Gaussian inputs
• The effect of instantaneous nonlinear devices on cross-correlation
• The effect of a memoryless nonlinearity on the spectrum of a random process
• Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks

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