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Titlebook: Chaos in Brain Function; Containing Original Erol Başar Book 1990 Springer-Verlag Berlin Heidelberg 1990 brain.cognition.cortex.electroenc

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https://doi.org/10.1007/978-981-99-9772-5My main goal by writing this survey is to try to bridge our knowledge in chaos research with analysis of brain oscillatory phenomena both at the neuronal and the EEG level.
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Chaotic Dynamics and Resonance Phenomena in Brain Function: Progress, Perspectives, and Thoughts,My main goal by writing this survey is to try to bridge our knowledge in chaos research with analysis of brain oscillatory phenomena both at the neuronal and the EEG level.
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Zhijing Li,Minghao Wang,Jinhua Ye,Haibin Wunlinear science (Martien and Shaw 1985). There are numerical methods for estimating the embedding dimension of a signal generated by a dynamic system (Froehling et al. 1981) which have been successfully applied to many kinds of data including brain-generated ones (see Mayer-Kress 1986 for many references).
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An Agenda for Research on Chaotic Dynamics, where the emperor has no clothes. The purpose of this commentary is to indicate the controls and calibrations that a brain physiologist considers first-order experiments when a new measure is proposed as a descriptor of some aspect of brain function, or to generalize the prescription when any measu
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The EEG is Not a Simple Noise: Strange Attractors in Intracranial Structures,ivity at neuronal levels with the origin of the electroencephalogram (EEG). Creutzfeldt (1974) pointed out that the spontaneous electrical activity of the CNS and sensory evoked potentials are highly correlated to intracellularly measured postsynaptic potentials (EPSPs and IPSPs). Ramos et al. (1976
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Nonlinear Neural Dynamics in Olfaction as a Model for Cognition,ion of the hippocampus as being exclusively olfactory. For example, the anterior third of the forebrain of the tiger salamander forms the bulb, the medial third is hippocampus, and the lateral third comprises the piriform and striato-amygdaloid complex (Herrick 1948). According to Herrick, a transit
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,Estimation of Correlation Dimensions from Single and Multichannel Recordings — A Critical View, few degrees of freedom may generate random behavior. The work of Packard et al. (1980) and Takens (1981) showed that from a seemingly random behavior, valuable information could be extracted for the characterization of the dynamics underlying the system which produces the signal. Algorithms were de
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Correlation Dimensions in Various Parts of Cat and Human Brain in Different States,re than two degrees of freedom can generate chaos and, therefore, become unpredictable over a longer time scale. In order to describe periodic, aperiodic, or even chaotic behavior of nonlinear systems, several approaches have been used. In 1963 Lorenz applied concepts of nonlinear dynamics to the co
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