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大多数神经场模型中的一个常见假设是网络是同质的和各向同性的，也就是说，权重分布取决于网络内交互种群之间的距离。然而，由于在皮层表层中发现的长程水平连接的斑块性质，真正的皮层更现实地被建模为各向异性和不均匀的二维介质（Bosking et al. 1997<ref>W H Bosking, Y Zhang, B Schofield and D Fitzpatrick. Orientation selectivity and the arrangement of horizontal connections in tree shrew striate cortex. J. Neurosci., 17:2112-2127, 1997.</ref>）。重量分布的各向异性可能导致不同方向的波速变化，而不均匀性可能导致随时间变化的波剖面，并可能导致波传播失败（Bressloff 2001<ref>P C Bressloff. Traveling fronts and wave propagation failure in an inhomogeneous neural network. Physica D, 155:83-100, 2001.</ref>）。
大多数神经场模型中的一个常见假设是网络是同质的和各向同性的，也就是说，权重分布取决于网络内交互种群之间的距离。然而，由于在皮层表层中发现的长程水平连接的斑块性质，真正的皮层更现实地被建模为各向异性和不均匀的二维介质（Bosking et al. 1997<ref>W H Bosking, Y Zhang, B Schofield and D Fitzpatrick. Orientation selectivity and the arrangement of horizontal connections in tree shrew striate cortex. J. Neurosci., 17:2112-2127, 1997.</ref>）。重量分布的各向异性可能导致不同方向的波速变化，而不均匀性可能导致随时间变化的波剖面，并可能导致波传播失败（Bressloff 2001<ref>P C Bressloff. Traveling fronts and wave propagation failure in an inhomogeneous neural network. Physica D, 155:83-100, 2001.</ref>）。
[[Category:Synchronization]]
[[Category:Oscillators]]
[[Category:Pattern Formation]]
[[Category: Computational Neuroscience]]
[[Category: Dynamical Systems]]
[[Category: Neural Networks]]
== 参考文献==
<references /><b>Internal references</b>
*Yuri A. Kuznetsov (2006) [[Andronov-Hopf bifurcation]]. Scholarpedia, 1(10):1858.
*John W. Milnor (2006) [[Attractor]]. Scholarpedia, 1(11):1815.
*Eugene M. Izhikevich (2006) [[Bursting]]. Scholarpedia, 1(3):1300.
*Philip Holmes and Eric T. Shea-Brown (2006) [[Stability]]. Scholarpedia, 1(10):1838.
*S. Murray Sherman (2006) [[Thalamus]]. Scholarpedia, 1(9):1583.
参考 http://www.scholarpedia.org/article/Neural_fields
==外部链接==
==外部链接==
[[Propagating Waves]]
[[Propagating Waves]]
[[Pattern formation]]
[[Pattern formation]]