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ConsciousnessLearn · Explore · Joseph Anady

Exponentially decaying synaptic trace with spike jumps

Between spikes, the trace decays with time constant τ_AMPA. Each ideal impulse increases it by one. The code implements those two operations separately: receive_spike adds one and step multiplies by exp(−dt/τ), giving the exact between-spike decay.

Implementation mathematicsSource recovered; runtime not executed
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gh-eq-707082b33f55dc3esource-comment-equation
ds/dt=−s/τAMPA+Σjδ(t−tj)ds/dt = -s/τ_AMPA + Σ_j δ(t - t_j)

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Between spikes, the trace decays with time constant τ_AMPA. Each ideal impulse increases it by one. The code implements those two operations separately: receive_spike adds one and step multiplies by exp(−dt/τ), giving the exact between-spike decay.

Terms & definitions

TermMeaning in this source
s

Synaptic trace

tau_AMPA

Decay time constant

t_j

Presynaptic spike times

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.

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
// ═══════════════════════════════════════════════════════════════════════════════
// SYNAPTIC TRANSMISSION
// Models for AMPA, NMDA, and GABA receptors
// ═══════════════════════════════════════════════════════════════════════════════

// AMPA Receptor (fast excitatory)
// I_AMPA = g_AMPA * s * (V - E_AMPA)
// ds/dt = -s/τ_AMPA + Σ_j δ(t - t_j)
struct AMPASynapse {
    float g_max = 0.35f;     // nS - Maximum conductance
    float E_rev = 0.0f;      // mV - Reversal potential
    float tau = 2.0f;        // ms - Decay time constant
    float s = 0.0f;          // Synaptic variable

    float current(float V_post) const {
        return g_max * s * (V_post - E_rev);
    }
Exact original notation
ds/dt = -s/τ_AMPA + Σ_j δ(t - t_j)

Related builds

Sources & provenance

01
C++ neural model components
Lines 190–190 · 33aa84f2aa61
02
C++ neural model components
Lines 190–190 · 33aa84f2aa61

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