Title :
Characterization of non-linear dynamics in rat cortical neuronal networks
Author :
Rajan, J.J. ; Jimbo, Y. ; Kawana, A.
Author_Institution :
NTT Basic Res. Labs., Kanagawa, Japan
fDate :
31 Oct-3 Nov 1996
Abstract :
In this paper we report on the evidence for low-dimensional deterministic chaos in extra-cellular recordings of mature rat cortical cells in culture medium. In general, the available data sets are relatively short and are heavily contaminated by noise making conclusive interpretations of chaotic behaviour difficult to ascertain. In this study we describe two analysis techniques used to detect chaotic behaviour, namely return map construction and Lyapunov exponent calculation. Results show that both methods indicate the presence of chaos which is consistent with other recent studies that have also suggested chaotic behaviour in cultured cell networks. In addition, the use of these two independent analysis techniques provides more rigorous evidence for the existence of chaotic behaviour in cultured cell networks since previous studios have relied solely on the method of return maps
Keywords :
Lyapunov methods; bioelectric potentials; brain; chaos; neurophysiology; nonlinear dynamical systems; time series; Lyapunov exponent calculation; culture medium; extracellular recordings; interburst interval; low-dimensional deterministic chaos; mature rat cortical cells; nonlinear dynamics; null hypothesis test; phase space; rat cortical neuronal networks; return map construction; spontaneous bursting; unstable manifold; Biological neural networks; Biological systems; Cells (biology); Chaos; Differential equations; Intelligent networks; Nonlinear equations; Orbits; Sequences; Timing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.647555