accessory 发表于 2025-3-28 18:12:10
https://doi.org/10.1007/978-1-349-12561-6In this chapter, the random walk model of a particle is used to drive a better understanding of what diffusion is. The probability density function for the limiting form of the probability distribution of the random walk is shown to be a solution to a diffusion model.COMA 发表于 2025-3-28 20:20:41
http://reply.papertrans.cn/19/1865/186414/186414_42.png解开 发表于 2025-3-29 00:15:18
http://reply.papertrans.cn/19/1865/186414/186414_43.pngArthropathy 发表于 2025-3-29 04:03:44
http://reply.papertrans.cn/19/1865/186414/186414_44.pngAstigmatism 发表于 2025-3-29 08:58:51
Integral TransformsIn this chapter, the Laplace transform in time and the Fourier transform in space are discussed along with their inverses.使更活跃 发表于 2025-3-29 13:36:13
http://reply.papertrans.cn/19/1865/186414/186414_46.pngBmd955 发表于 2025-3-29 16:15:43
http://reply.papertrans.cn/19/1865/186414/186414_47.pngCAPE 发表于 2025-3-29 22:42:57
http://reply.papertrans.cn/19/1865/186414/186414_48.pngGenome 发表于 2025-3-30 02:57:14
Regional Structure of the Information Flowuseful ways of regulating many biological processes. A careful discussion of a mathematical model of this type of event in terms of diffusion is provided culminating in ideas on how to approximate the effects of the calcium current input pulse.characteristic 发表于 2025-3-30 04:35:02
Zoos in Central Japan and World War II, and a Laplacian. Information flow through the graph is assumed to follow a cable like equation using the graph version of the Laplacian. This cable like equation can then be used to map inputs to output in a chain model. Finally, some comments are made about the estimated sizes of interesting cortical models that could be used in simulations.