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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

Magnesium-block factor

For nonnegative magnesium concentration, the denominator is at least one and the factor lies between zero and one. Increasing voltage reduces the exponential term and increases the unblocked fraction. The coefficients assume the voltage and concentration units stated…

Implementation mathematicsSource recovered; runtime not executed
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gh-eq-d68378cf25ec5501source-comment-equation
B(V)=1/(1+[Mg2+]o∗exp(−0.062∗V)/3.57)B(V) = 1 / (1 + [Mg2+]_o * exp(-0.062*V) / 3.57)

Read the equation

For nonnegative magnesium concentration, the denominator is at least one and the factor lies between zero and one. Increasing voltage reduces the exponential term and increases the unblocked fraction. The coefficients assume the voltage and concentration units stated in the source.

Terms & definitions

TermMeaning in this source
B

Unblocked conductance fraction

V

Voltage in millivolts

Mg_o

External magnesium concentration in millimolar

How it works

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Assumptions & limits

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
    void step(float dt) {
        s *= std::exp(-dt / tau);
    }
};

// NMDA Receptor (slow excitatory, voltage-dependent Mg2+ block)
// I_NMDA = g_NMDA * s * B(V) * (V - E_NMDA)
// B(V) = 1 / (1 + [Mg2+]_o * exp(-0.062*V) / 3.57)
struct NMDASynapse {
    float g_max = 0.5f;      // nS
    float E_rev = 0.0f;      // mV
    float tau_rise = 2.0f;   // ms
    float tau_decay = 100.0f;// ms - NMDA is slow!
    float Mg_o = 1.0f;       // mM - External Mg2+ concentration
    float s = 0.0f;
    float x = 0.0f;          // Rise variable

    // Mg2+ block factor
Exact original notation
B(V) = 1 / (1 + [Mg2+]_o * exp(-0.062*V) / 3.57)

Related builds

Sources & provenance

01
C++ neural model components
Lines 212–212 · 33aa84f2aa61
02
C++ neural model components
Lines 212–212 · 33aa84f2aa61

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