Dynamics of two electrically coupled chaotic neurons: Experimental observations and model analysis

被引:51
|
作者
Varona, P
Torres, JJ
Abarbanel, HDI
Rabinovich, MI
Elson, RC
机构
[1] Univ Calif San Diego, Inst Nonlinear Sci, La Jolla, CA 92093 USA
[2] UAM, ETSI, GNB Dept Ingn Informat, Madrid 28049, Spain
[3] Univ Calif San Diego, Scripps Inst Oceanog, Dept Phys, La Jolla, CA 92093 USA
[4] Univ Calif San Diego, Scripps Inst Oceanog, Marine Phys Lab, La Jolla, CA 92093 USA
关键词
D O I
10.1007/s004220000198
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Conductance-based models of neurons from the lobster stomatogastric ganglion (STG) have been developed to understand the observed chaotic behavior of individual STG neurons. These models identify an additional slow dynamical process - calcium exchange and storage in the endoplasmic reticulum - as a biologically plausible source for the observed chaos in the oscillations of these cells. In this paper we test these ideas further by exploring the dynamical behavior when two model neurons are coupled by electrical or gap junction connections. We compare in detail the model results to the laboratory measurements of electrically-coupled neurons that we reported earlier. The experiments on the biological neurons varied the strength of the effective coupling by applying a parallel, artificial synapse, which changed both the magnitude and polarity of the conductance between the neurons. We observed a sequence of bifurcations that took the neurons from strongly synchronized in-phase behavior, through uncorrelated chaotic oscillations to strongly synchronized - and now regular - out-of-phase behavior. The model calculations reproduce these observations quantitatively, indicating that slow subcellular processes could account for the mechanisms involved in the synchronization and regularization of the otherwise individual chaotic activities.
引用
收藏
页码:91 / 101
页数:11
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