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

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發(fā)表于 2025-3-25 04:06:05 | 只看該作者
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發(fā)表于 2025-3-25 10:02:28 | 只看該作者
Chaotic Dynamics in Brain Activity,hase-space trajectories are drawn. Provided that the dynamics of the system can be reduced to a set of deterministic laws, the system reaches in time a state of permanent regime. This fact is reflected by the convergence of families of phase trajectories toward a subset of the phase space. This invariant subset is called an “attractor.”
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發(fā)表于 2025-3-25 13:14:32 | 只看該作者
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發(fā)表于 2025-3-25 18:43:19 | 只看該作者
Analysis of Strange Attractors in EEGs with Kinesthetic Experience and 4-D Computer Graphics, it. In a word, brain activity, at least in some states and in some brain parts, appears to be chaotic and not stochastic (Rapp et al. 1985; Freeman and Viana Di Prisco 1986; Babloyantz and Destexhe 1986; Havstadt and Ehlers 1987; Meyer-Kress 1987; Freeman 1987 a, b, 1988).
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發(fā)表于 2025-3-26 05:35:23 | 只看該作者
978-3-540-52329-1Springer-Verlag Berlin Heidelberg 1990
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發(fā)表于 2025-3-26 08:40:16 | 只看該作者
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發(fā)表于 2025-3-26 20:10:19 | 只看該作者
https://doi.org/10.1007/0-306-47203-1of nonlinear dynamical systems (Brandst?ter et al. 1983; Nicolis and Nicolis 1984, 1986; Babloyantz et al. 1985). The method is independent of any modeling of brain activity. It relies solely on the analysis of data obtained from a single-variable time series. From such a “one-dimensional” view of t
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