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  Reconstruction and Characterisation of Neuronal Dynamics: How Attractive is Chaos?

Preißl, H., & Aertsen, A. (1992). Reconstruction and Characterisation of Neuronal Dynamics: How Attractive is Chaos? In A. Aertsen, & V. Braitenberg (Eds.), Information Processing in the Cortex: Experiments and Theory (pp. 285-297). Berlin, Germany: Springer.

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 Urheber:
Preißl, H1, 2, Autor           
Aertsen, A1, 2, Autor           
Affiliations:
1Former Department Structure and Function of Natural Nerve-Net , Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497803              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Zusammenfassung: During the last years there has been a great emphasis on the possibility of characterising neuronal dynamics with methods from non-linear dynamical system theory. These new methods, especially the determination of the correlation dimension of time series, were applied to continuous activity as measured by the EEG and also to pulse train activity of single neurons. We could show that the calculation of the correlation dimension leads to incompatible results for a continuous process and for a pulse train generated from that process. This result has implications not only for neuronal data but also for other fields in biology and physics, where one deals with these two types of data.

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 Datum: 1992
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Identifikatoren: DOI: 10.1007/978-3-642-49967-8_19
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Titel: Information Processing in the Cortex: Experiments and Theory
Genre der Quelle: Buch
 Urheber:
Aertsen, A, Herausgeber           
Braitenberg, V1, Herausgeber           
Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794            
Ort, Verlag, Ausgabe: Berlin, Germany : Springer
Seiten: 477 Band / Heft: - Artikelnummer: - Start- / Endseite: 285 - 297 Identifikator: ISBN: 3-540-55391-6