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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Quadratic integrate and fire ： ウィキペディア英語版 Quadratic integrate and fire The quadratic integrate and fire (QIF) model is a biological neuron model model and a type of integrate-and-fire neuron which describes action potentials in neurons. In contrast to physiologically accurate but computationally expensive neuron models like the Hodgkin–Huxley model, the QIF model seeks only to produce action potential-like patterns and ignores subtleties like gating variables, which play an important role in generating action potentials in a real neuron. However, the QIF model is incredibly easy to implement and compute, and relatively straightforward to study and understand, thus has found ubiquitous use in computational neuroscience . A quadratic integrate and fire neuron is defined by the autonomous differential equation, : $\backslash frac\; =\; x^2\; +\; I$ where $I$ is a real positive constant. Note that a solution to this differential equation is the tangent function, which blows up in finite time. Thus a "spike" is said to have occurred when the solution reaches positive infinity, and the solution is reset to negative infinity. When implementing this model in computers, a threshold crossing value ($V\_t$) and a reset value ($V\_r$) is assigned, so that when the solution rises above the threshold, $x(t)\; \backslash geq\; V\_t$, the solution is immediately reset to $V\_r$ 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Quadratic integrate and fire」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.