Read the equation
This relation defines CLASSIC HEBBIAN: Δw_ij in the source section “Machine Learning Module for Gate5000 Consciousness · CLASSIC HEBBIAN: Δw_ij”. 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
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How it works
Read CLASSIC HEBBIAN: Δw_ij as the quantity being defined or updated by this relation.
Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.
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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
* @file learning.hpp * @brief Machine Learning Module for Gate5000 Consciousness * * ═══════════════════════════════════════════════════════════════════════════════ * I. HEBBIAN LEARNING * ═══════════════════════════════════════════════════════════════════════════════ * * CLASSIC HEBBIAN: Δw_ij = η·x_i·x_j * NORMALIZED: Δw_ij = η·(x_i·x_j - α·w_ij·x_j²) * BCM: Δw_ij = η·x_i·x_j·(x_j - θ_j) * OJA'S RULE: Δw_ij = η·y·(x_i - y·w_ij) * STDP: Δw = A+·exp(-Δt/τ+) if pre<post, A-·exp(Δt/τ-) if post<pre * * ═══════════════════════════════════════════════════════════════════════════════ * II. GRADIENT DESCENT * ═══════════════════════════════════════════════════════════════════════════════ * * SGD: w = w - η·∇L
Exact original notation
CLASSIC HEBBIAN: Δw_ij = η·x_i·x_j