A biologically based model of functional properties of the hippocampus

DOI10.1016/S0893-6080(05)80158-3zbMath0812.92007MaRDI QIDQ1346022

Robert J. Sclabassi, Theodore W. Berger, Gilbert A. Chauvet

Publication date: 18 May 1995

Published in: Neural Networks (Search for Journal in Brave)

zbMATH Keywords

learninginternal modelhippocampusmemoryfield theorysubcellular processesnonlinear systems analysisfunctional power seriesexternal modelkernel functions for interneuronsmultidimensional \(z\)-transformprincipal neuronsrandom impulse train stimulation

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (1)

Lee-associator --- a chaotic auto-associative network for progressive memory recalling

Cites Work

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• An n-level field theory of biological neural networks
• Nonlinear system theory
• Identification of nonlinear systems by use of nonstationary white-noise inputs
• Identification of nonlinear systems using random impulse train inputs
• Non-locality in biological systems results from hierarchy
• Nonparametric validation of parametric models

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