A prediction theory for some nonlinear functional-differential equations. I: Learning of lists

DOI10.1016/0022-247X(68)90269-2zbMath0162.23702OpenAlexW4210259394MaRDI QIDQ2528490

Stephen Grossberg

Publication date: 1968

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0022-247x(68)90269-2

zbMATH Keywords

mathematical biology

Related Items (9)

Some Networks that can Learn, Remember, and Reproduce any Number of Complicated Space‐time ⋮ Delay for the capacity-simplicity dilemma in associative memory attractor networks ⋮ A prediction theory for some nonlinear functional-differential equations. II: Learning of patterns ⋮ On the global limits and oscillations of a system of nonlinear differential equations describing a flow on a probabilistic network ⋮ Embedding fields: A theory of learning with physiological implications ⋮ On the serial learning of lists ⋮ On the variational systems of some nonlinear difference-differential equations ⋮ Stability of ratio limits for a system of differential equations modelling a learning theory ⋮ Neural population modeling and psychology: a review

Cites Work

• Differential equations: Stability, oscillations, time lags
• Global ratio limit theorems for some nonlinear functional-differential equations. I
• Nonlinear difference-differential equations in prediction and learning theory.
• Pavlovian Pattern Learning by Nonlinear Neural Networks
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