State-changes in the brain viewed as linear steady-states and non-linear transitions between steady-states

DOI10.1007/BF00355686zbMath0566.92008WikidataQ48541721 ScholiaQ48541721MaRDI QIDQ1059567

G. J. Lees, R. R. Kydd, James J. Wright

Publication date: 1985

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

zbMATH Keywords

adaptive learningEEGelectrocortical wavesbrain-stem neuronesdamping parametersfibre systemsinternal controlslinear resonant modeslinear steady-statesnon-linear transitions between steady-statesperturbation by external signalsstate-changes in the brain

Mathematics Subject Classification ID

Physiological, cellular and medical topics (92Cxx)

Related Items (5)

Indications of nonlinearity, intraindividual specificity and stability of human EEG: The unfolding dimension ⋮ Observability limits for networked oscillators ⋮ The estimation of the Kolmogorov entropy from a time series and its limitations when performed on EEG ⋮ Reticular activation and the dynamics of neuronal networks ⋮ Autoregression models of EEG. Results compared with expectations for a multilinear near-equilibrium biophysical process

Cites Work

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• Coupled van der Pol oscillators. A model of excitatory and inhibitory neural interactions
• A spatio-temporal filter approach to synchronous brain activities
• A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue

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