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ConsciousnessLearn · Explore · Joseph Anady

Sodium activation closing rate

This exponential rate decreases as membrane voltage increases in the displayed voltage convention. It multiplies m in the gate’s closing term −β_m m. Together with α_m it determines the voltage-dependent equilibrium gate value and time scale.

Implementation mathematicsSource recovered; runtime not executed
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gh-eq-6fc2bc7bce359ae3source-comment-equation
βm(V)=4∗exp(−(V+65)/18)β_m(V) = 4*exp(-(V+65)/18)

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This exponential rate decreases as membrane voltage increases in the displayed voltage convention. It multiplies m in the gate’s closing term −β_m m. Together with α_m it determines the voltage-dependent equilibrium gate value and time scale.

Terms & definitions

TermMeaning in this source
V

Membrane voltage in millivolts

beta_m

Sodium activation closing rate

How it works

Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.

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Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

Read the surrounding source passage
    // α_m(V) = 0.1(V+40)/(1-exp(-(V+40)/10))
    float alpha_m(float V_) const {
        float x = V_ + 40.0f;
        if (std::abs(x) < 1e-6f) return 1.0f;  // L'Hôpital limit
        return 0.1f * x / (1.0f - std::exp(-x / 10.0f));
    }

    // β_m(V) = 4*exp(-(V+65)/18)
    float beta_m(float V_) const {
        return 4.0f * std::exp(-(V_ + 65.0f) / 18.0f);
    }

    // α_h(V) = 0.07*exp(-(V+65)/20)
    float alpha_h(float V_) const {
        return 0.07f * std::exp(-(V_ + 65.0f) / 20.0f);
    }

    // β_h(V) = 1/(1+exp(-(V+35)/10))
Exact original notation
β_m(V) = 4*exp(-(V+65)/18)

Related builds

Sources & provenance

01
C++ neural model components
Lines 124–124 · 33aa84f2aa61
02
C++ neural model components
Lines 124–124 · 33aa84f2aa61

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