Computer simulations of neuronal signal transduction: The role of nonlinear dynamics and noise

Computer simulations of neuronal signal transduction: The role of nonlinear dynamics and noise
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DOI:
10.1142/s0218127498000681
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发表时间:
1998-05-01
影响因子:
2.2
通讯作者:
Voigt, K
Voigt, K
中科院分区:
数学4区
文献类型:
--
作者:
Braun, HA;Huber, MT;Voigt, K

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神经细胞膜上的非线性离子相互作用可以解释振荡的膜电位和周期性神经冲动活动的产生。与噪声相结合,内源性振荡的外部调制允许各种脉冲模式之间的连续过渡。因此,这种“嘈杂的振荡器”提供了一种重要的神经元编码机制,正如来自外周冷受体的实验数据和相应的计算机模拟所证明的那样。
Nonlinear ionic interactions at the nerve cell membrane can account for oscillating membrane potentials and the generation of periodic neuronal impulse activity. In combination with noise, external modulation of the endogenous oscillations allows for continuous transitions between a variety of impulse patterns. Such "noisy oscillators" afford, thereby, an important mechanism of neuronal encoding as is demonstrated herewith experimental data from peripheral cold receptors and corresponding computer simulations.