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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

SIMD-OPTIMIZED GATE5000 · a_i(t+1)

This relation defines a_i(t+1) in the source section “SIMD-OPTIMIZED GATE5000 · a_i(t+1)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does…

Implementation mathematicsSource recovered; runtime not executed
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gh-eq-e50202fcf3ca300bsource-comment-equation
ai(t+1)=tanh(alpha∗sum(wj∗aj)+beta)a_i(t+1) = tanh(alpha * sum(w_j * a_j) + beta)

Read the equation

This relation defines a_i(t+1) in the source section “SIMD-OPTIMIZED GATE5000 · a_i(t+1)”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

  1. Read a_i(t+1) as the quantity being defined or updated by this relation.

  2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

  • This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

Read the surrounding source passage
        weights.fill(1.0f);
        phi_values.fill(0.5f);
    }

    /**
     * SIMD-optimized analog step
     *
     * a_i(t+1) = tanh(alpha * sum(w_j * a_j) + beta)
     */
    void step_analog(float alpha = 0.1618f, float beta = 0.0809f) {
        alignas(SIMD_ALIGNMENT) std::array<float, ANALOG_SIZE> new_analog;

#if defined(SIMD_AVX2) || defined(SIMD_AVX512)
        __m256 v_alpha = _mm256_set1_ps(alpha);
        __m256 v_beta = _mm256_set1_ps(beta);

        // Compute weighted sum (simplified: local neighborhood)
        for (size_t i = 0; i < ANALOG_SIZE; i += 8) {
Exact original notation
a_i(t+1) = tanh(alpha * sum(w_j * a_j) + beta)

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Sources & provenance

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