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ConsciousnessLearn · Explore · Joseph Anady

Nernst equilibrium potential for one ionic species

The logarithmic concentration ratio balances chemical concentration drive against electrical potential for an ion of charge number z. The helper uses a fixed temperature and converts its volt result to millivolts. Concentrations must be positive and z nonzero; this…

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gh-eq-619a3091a8bef543source-comment-equation
NernstEquation:Eion=(RT/zF)∗ln([ion]out/[ion]in)Nernst Equation: E_ion = (RT/zF) * ln([ion]_out/[ion]_in)

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The logarithmic concentration ratio balances chemical concentration drive against electrical potential for an ion of charge number z. The helper uses a fixed temperature and converts its volt result to millivolts. Concentrations must be positive and z nonzero; this single-ion equilibrium expression is different from a whole-membrane dynamics model.

Terms & definitions

TermMeaning in this source
R

Gas constant

T

Absolute temperature

z

Ion charge number

F

Faraday constant

conc_out

Outside concentration

conc_in

Inside concentration

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Original context

Read the surrounding source passage
constexpr float CA_OUT = 2.0f;           // [Ca2+]out
constexpr float CA_IN = 0.0001f;         // [Ca2+]in (~100 nM)

// ═══════════════════════════════════════════════════════════════════════════════
// LEVEL 1: SINGLE NEURON MATHEMATICS
// ═══════════════════════════════════════════════════════════════════════════════

// Nernst Equation: E_ion = (RT/zF) * ln([ion]_out/[ion]_in)
// Calculates equilibrium potential for a single ion
inline float nernst(float z, float conc_out, float conc_in) {
    return (RT_F / z) * std::log(conc_out / conc_in) * 1000.0f;  // Convert to mV
}

// Goldman-Hodgkin-Katz Equation
// V_m = (RT/F) * ln((P_Na[Na]_o + P_K[K]_o + P_Cl[Cl]_i) / (P_Na[Na]_i + P_K[K]_i + P_Cl[Cl]_o))
struct GHKEquation {
    float P_Na = 1.0f;   // Na+ permeability (relative)
    float P_K = 20.0f;   // K+ permeability (at rest, ~20x Na+)
Exact original notation
Nernst Equation: E_ion = (RT/zF) * ln([ion]_out/[ion]_in)

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Sources & provenance

01
C++ neural model components
Lines 67–67 · 33aa84f2aa61
02
C++ neural model components
Lines 67–67 · 33aa84f2aa61

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