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− | 其中<math> V = V_{rest} - V_m </math> 表示负去极化,单位为mV。(???) | + | 其中<math> V = V_{rest} - V_m </math> <nowiki><font color = "32CD32">表示负去极化</font></nowiki>,单位为mV。 |
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− | While in many current software programs,<ref>Nelson ME (2005) [http://nelson.beckman.illinois.edu/courses/physl317/part1/Lec3_HHsection.pdf Electrophysiological Models In: Databasing the Brain: From Data to Knowledge.] (S. Koslow and S. Subramaniam, eds.) Wiley, New York, pp. 285–301</ref> | + | While in many current software programs,<ref>Nelson ME (2005) [http://nelson.beckman.illinois.edu/courses/physl317/part1/Lec3_HHsection.pdf Electrophysiological Models In: Databasing the Brain: From Data to Knowledge.] (S. Koslow and S. Subramaniam, eds.) Wiley, New York, pp. 285–301</ref> Hodgkin–Huxley type models generalize <math> \alpha </math> and <math> \beta </math> to |
− | Hodgkin–Huxley type models generalize <math> \alpha </math> and <math> \beta </math> to | |
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− | While in many current software programs,Nelson ME (2005) Electrophysiological Models In: Databasing the Brain: From Data to Knowledge. (S. Koslow and S. Subramaniam, eds.) Wiley, New York, pp. 285–301
| + | 在当前的软件程序中,霍奇金-赫胥黎类模型将<nowiki><math>\alpha</math></nowiki>和<nowiki><math>\beta</math></nowiki>归纳为 |
− | Hodgkin–Huxley type models generalize \alpha and \beta to
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− | 虽然在许多当前的软件程序,尼尔森我(2005年)电生理模型在: 数据库的大脑: 从数据到知识。(s. Koslow and s. Subramaniam,eds.)威利,纽约,pp。285-301 Hodgkin-Huxley 型模型将 alpha 和 beta 推广到
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| :<math> \frac{A_p(V_m-B_p)}{\exp\big(\frac{V_m-B_p}{C_p}\big)-D_p} </math> | | :<math> \frac{A_p(V_m-B_p)}{\exp\big(\frac{V_m-B_p}{C_p}\big)-D_p} </math> |
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| Thus, for every value of membrane potential <math>V_{m}</math> the sodium and potassium currents can be described by | | Thus, for every value of membrane potential <math>V_{m}</math> the sodium and potassium currents can be described by |
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− | 因此,对于膜电位的每个值<math>V_m</math>,钠电流和钾电流可以描述为(次方的位置???) | + | 因此,对于膜电位的每个值<math>V_m</math>,钠电流和钾电流可以描述为 |
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| : <math>I_\mathrm{Na}(t)=\bar{g}_\mathrm{Na} m(V_m)^3h(V_m)(V_m-E_\mathrm{Na}),</math> | | : <math>I_\mathrm{Na}(t)=\bar{g}_\mathrm{Na} m(V_m)^3h(V_m)(V_m-E_\mathrm{Na}),</math> |
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| [[Category:Ion channels]] | | [[Category:Ion channels]] |
| [[Category:Computational neuroscience]] | | [[Category:Computational neuroscience]] |
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| + | == 编者推荐 == |
| + | 《神经科学的数学原理》 |
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