Neuronal growth:: A bistable stochastic process
Neuronal growth:: A bistable stochastic process
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DOI：
10.1103/physrevlett.96.098103
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发表时间：
2006-03-10
影响因子：
8.6
通讯作者：
Käs, JA
中科院分区：
文献类型：
--
作者：
Betz, T;Lim, D;Käs, JA
神经科学几乎没有解决神经元生长的根本随机性。我们报道了神经元生长锥前沿运动的随机波动，这是神经元生长的基本步骤。将边缘运动描述为随机双稳态过程，得到了一个各向同性噪声参数，并成功地用于测试该模型。对生长锥运动的分析证实了该模型，并预测随机滤波所知的双稳电势的线性变化会导致定向生长锥移位。
The fundamentally stochastic nature of neuronal growth has hardly been addressed in neuroscience. We report on the stochastic fluctuations of a neuronal growth cone's leading edge movement, the basic step in neuronal growth. Describing the edge movement as a stochastic bistable process leads to an isotropic noise parameter that is successfully used to test the model. An analysis of growth cone motility confirms the model, and predicts that linear changes of the bistable potential, as known from stochastic filtering, result in directed growth cone translocation.