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蜗牛(Helix pomatia)爆发性神经元起搏器活动数学模型中的确定性混沌。

Deterministic chaos in mathematical model of pacemaker activity in bursting neurons of snail, Helix pomatia.

作者信息

Komendantov A O, Kononenko N I

机构信息

Department of Mathematical and Technical Methods Application in Biology and Medicine, V. M. Glushkov Institute of Cybernetics, Kiev, Ukraine.

出版信息

J Theor Biol. 1996 Nov 21;183(2):219-30. doi: 10.1006/jtbi.1996.0215.

Abstract

Chaotic regimes in a mathematical model of pacemaker activity in the bursting neurons of a snail Helix pomatia, have been investigated. The model includes a slow-wave generating mechanism, a spike-generating mechanism, an inward Ca current, intracellular Ca ions, [Ca2+]in, their fast buffering and uptake by intracellular Ca stores, and a [Ca2+]in-inhibited Ca current. Chemosensitive voltage-activated conductance, gB*, responsible for termination of the spike burst, and chemosensitive sodium conductance, gNa*, responsible for the depolarization phase of the slow-wave, were used as control parameters. These conductances in intact snail bursting neuron are regulated by neuropeptides. Time courses of the membrane potential and [Ca2+]in were employed to analyse different regimes in the model. Histograms of interspike intervals, autocorrelograms, spectral characteristics, one-dimensional return maps, phase plane trajectories, positive Lyapunov exponent and especially cascades of period-doubling bifurcations demonstrate that approaches to chaos were generated. The bifurcation diagram as a function of gB* and the ([Ca2+]in-V) phase diagram of initial conditions reveal fractal features. It has been observed that a short-lasting depolarizing current of elevation of [Ca2+]in may evoke transformation of chaotic activity into a regular bursting one. These kinds of transitions do not require any changes in the parameters of the model. The results demonstrate that chaotic regimes of neuronal activity modulated by neuropeptides may play a relevant role in information processing and storage at the level of a single neuron.

摘要

对蜗牛(Helix pomatia)爆发性神经元起搏器活动数学模型中的混沌状态进行了研究。该模型包括慢波产生机制、峰电位产生机制、内向钙电流、细胞内钙离子、[Ca2+]in、其快速缓冲以及被细胞内钙库摄取,还有[Ca2+]in抑制的钙电流。负责峰电位爆发终止的化学敏感电压激活电导gB和负责慢波去极化阶段的化学敏感钠电导gNa被用作控制参数。完整蜗牛爆发性神经元中的这些电导由神经肽调节。利用膜电位和[Ca2+]in的时间进程来分析模型中的不同状态。峰电位间隔直方图、自相关图、频谱特性、一维返回映射、相平面轨迹、正李雅普诺夫指数,尤其是倍周期分岔级联表明产生了通向混沌的途径。作为gB*函数的分岔图和初始条件的([Ca2+]in-V)相图揭示了分形特征。已经观察到,[Ca2+]in升高引起的短暂去极化电流可能会使混沌活动转变为规则的爆发活动。这类转变不需要模型参数有任何变化。结果表明,由神经肽调节的神经元活动混沌状态可能在单个神经元水平的信息处理和存储中发挥相关作用。

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