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This relation defines @brief Three-factor learning: Δw in the source section “Three-factor learning: Δw = η·x_pre·x_post·R · @brief Three-factor learning: Δw”. 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.
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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
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};
// ═══════════════════════════════════════════════════════════════════════════════
// V. REWARD-MODULATED LEARNING
// ═══════════════════════════════════════════════════════════════════════════════
/**
* @brief Three-factor learning: Δw = η·x_pre·x_post·R
* R is the reward/neuromodulator signal
*/
inline double three_factor_learning(double x_pre, double x_post, double reward,
double eligibility = 1.0, double eta = ETA) {
return eta * x_pre * x_post * reward * eligibility;
}
/**
* @brief Eligibility trace update: e(t+1) = λ·e(t) + x_pre·x_post
*/Exact original notation
@brief Three-factor learning: Δw = η·x_pre·x_post·R