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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

Update BCM threshold: θ = <x²> (sliding average) · @brief Update BCM threshold: θ

This relation defines @brief Update BCM threshold: θ in the source section “Update BCM threshold: θ = <x²> (sliding average) · @brief Update BCM threshold: θ”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation…

Implementation mathematicsSource recovered; runtime not executed
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gh-eq-8eedd85cc7b0263dsource-comment-equation
@briefUpdateBCMthreshold:θ=<x2>(slidingaverage)@brief Update BCM threshold: θ = <x²> (sliding average)

Read the equation

This relation defines @brief Update BCM threshold: θ in the source section “Update BCM threshold: θ = <x²> (sliding average) · @brief Update BCM threshold: θ”. 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 @brief Update BCM threshold: θ 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
 * Threshold θ adapts based on activity
 */
inline double hebbian_bcm(double x_pre, double x_post, double theta, double eta = ETA) {
    return eta * x_pre * x_post * (x_post - theta);
}

/**
 * @brief Update BCM threshold: θ = <x²> (sliding average)
 */
inline double bcm_threshold_update(double theta, double x_post, double tau = 0.01) {
    return theta + tau * (x_post * x_post - theta);
}

/**
 * @brief Oja's Rule: Δw = η·y·(x - y·w)
 * Performs PCA - weight converges to principal eigenvector
 */
inline double oja_rule(double x, double y, double w, double eta = ETA) {
Exact original notation
@brief Update BCM threshold: θ = <x²> (sliding average)

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