LATHE 发表于 2025-3-28 17:27:43
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Multiple Andronov-Hopf Bifurcation slow time, and .., .., .., .. ∈ ℂ. In this chapter we study general properties of this canonical model. In particular, we are interested in the stability of the origin .. = … = .. = 0 and in the possibility of in-phase and anti-phase locking.背景 发表于 2025-3-28 22:54:54
Multiple Cusp Bifurcationwhere ′ = ., τ is slow time, .., .., .... are real variables, and σ. = ±1. In this chapter we study some neurocomputational properties of this canonical model. In particular, we use Hirsch’s theorem to prove that the canonical model can work as a globally asymptotically stable neural network (GAS-tyGoblet-Cells 发表于 2025-3-29 06:03:21
http://reply.papertrans.cn/103/10214/1021368/1021368_44.pngepicondylitis 发表于 2025-3-29 10:16:21
Neural Networkseds only local information about the behavior of the neuron near the rest potential. Thus, one can obtain some global information about behavior of a system by performing local analysis. Our nonhyperbolic neural network approach uses this observation.Sedative 发表于 2025-3-29 12:42:34
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http://reply.papertrans.cn/103/10214/1021368/1021368_48.pngProphylaxis 发表于 2025-3-30 01:52:26
Introduction to Canonical Modelscould discourage biologists from using mathematics and/or mathematicians. A reasonable way to circumvent this problem is to derive results that are largely independent of the model and that can be observed in a broad class of models. For example, if one modifies a model by adding more parameters and variables, similar results should hold.OCTO 发表于 2025-3-30 06:08:01
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