一类神经场模型Bump解的迭代格式
Iterative Schemes for Bump Solutions in a Neural Field Model
摘要:
我们开发了两个迭代方案,用于构造具有平滑Heaviside发射率函数的单种群Wilson-Cowan模型的局部定态解(凸点)。第一种方案是基于稳态Wilson-Cowan模型的不动点公式。第二个公式是用凸块的激励宽度表示的。利用有序巴拿赫空间中的单调算子理论证明了这两种迭代格式的收敛性。
英文摘要:
We develop two iteration schemes for construction of localized stationary solutions (bumps) of a one-population Wilson-Cowan model with a smoothed Heaviside firing rate function. The first scheme is based on the fixed point formulation of the stationary Wilson-Cowan model. The second one is formulated in terms of the excitation width of a bump. Using the theory of monotone operators in ordered Banach spaces we justify convergence of both iteration schemes.
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